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Search Results for: NAV TO BUSINESS CENTRAL

Manufacturing ERP Software

Magicrete Used Microsoft Solutions to Successfully Optimize Operations Across the Departments  

Manufacturing ERP Software /

Founded in 2008, Magicrete building solutions had the vision to help builders build better, cheaper, and faster with their revolutionary construction technology and they required a suitable technology, so they chose Manufacturing ERP Software. They manufacture lightweight concrete (AAC) blocks, and so far, provide an impressive range of construction solutions such as AAC wall panels, construction chemicals, as well as precast solutions. Millions of homes have been constructed using Magicrete products.   Dynamics 365 Manufacturing ERP Software Helped Streamlining Business Processes and Driving Optimum Productivity  Magicrete is one of the biggest examples of leveraging technology to optimize its business at all levels. They have been using Dynamics 365 Manufacturing ERP Software since their founding years. Since 2011, they have been using Dynamics NAV. In 2021, they upgraded from Dynamics NAV to Business Central.   Furthermore, they have also been using Dynamics 365 Manufacturing CRM software to manage customers and streamline sales. In addition to it, they use Power BI to get real-time business insights for more logical and data-driven decision-making. Their implementation partner has been providing the needed support for these solutions across different processes.   Dynamics 365 Business Central Helps Managing Operations Across Different Departments   Magicrete always struggled with financial management. As soon as they adopted Dynamics NAV, they witnessed fluency like never before. And after Dynamics NAV to BC Upgrade, the services were now unmatched. This enterprise-wide ERP Solution turned their scenario upside down.   With Business Central, Magicrete enjoyed embedded workflow charts, a friendly user interface, live business reports, and self-service reporting. Not to mention, these features serve as a critical Dynamics NAV Upgrade which helps managers make more informed financial decisions.   Magicrete had a strong faith in the power of seamless data flow. They believed a business must have a smooth flow of data to scale and succeed. Further with this Manufacturing ERP Software, the automated manual tasks resulted in faster progress, low error risks, and optimum staff management. After automating workflow, they engaged their staff in more critical operations rather than just routine work.  The business further linked its SCADA system with Business Central. It helped provide the team with better analytics and eventually led to faster decision-making and better production monitoring.   The job module allowed the project team to check up on project schedules and stay on track with the deadlines.   Dynamics 365 CRM Optimized Sales Operations   Magicrete leveraged Dynamics 365 CRM as an enterprise-wide solution and believed they couldn’t find a better solution. With just a few clicks, the entire team could access accounts, contact, and opportunity pipelines. Furthermore, this Manufacturing ERP Software solution aggregated information on emails, calls, and meetings to track customer interactions history and suggest the next most viable step. Therefore, it helped them boost their workforce productivity.   Magicrete Successfully Got a Unified View of the Entire Business   Before using Power BI, workers at Magicrete would use 5-10% of their time creating monthly data MIS sheets for different departments. Further, they worked in siloes so it was even more complex. As soon as they shift to Power BI, they can view the integrated business data at any given point in time. Having data stored in a source and no manual intervention means having easy data access and no human error.   Power BI helped Magicrete create interactive dashboards, view data, and map real-time information in a format that’s intuitive and highly visual. These dashboards help them identify business opportunities and potential/ upcoming threats. With Power BI, they identified their hidden impacting areas.   Moving Forward  With Dynamics 365 Manufacturing ERP Software, Magicrete could scale up as many times as they want. Thanks to Microsoft Dynamics 365’s agility and flexibility, they can leverage many business tools that help them scale.   With each data unit that Magicrete adds to its 14-year-old database, it enhances the quality of overall data. It further helps them calculate the cost of its products automatically. This has been proven to be a vital use case that even gave them a competitive edge in the competition.   Magicrete finds great potential in connecting teams with other business systems. They are also experimenting with bots that can provide essential data from CRM or ERP for faster approval.   If you are looking forward to implementing Dynamics 365 Manufacturing ERP Software, you must choose a suitable partner with a solid track record. Trident Information Systems have been in the field for more than two decades and became Microsoft Dynamics 365 Gold Implementation Partner and LS Central Diamond Partner. If interested, Contact Us now.  

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Dynamics 365: 2020 release wave 2 plan

Business Central Implementation /

The Dynamics 365 release plan for the 2020 release wave 2 describes all new features releasing from October 2020 through March 2021. You can either browse the release plan online or download the document as a PDF file. The PDF file also includes information about Power Apps, Power Automate, Power Virtual Agents, Power Platform governance and administration, and Common Data Model and data integration. The Microsoft Power Platform features coming in the 2020 release wave 2 have been summarized in a separate release plan as well as a downloadable PDF. 2020 release wave 2 overview The 2020 release wave 2 for Dynamics 365 brings new innovations that provide you with significant capabilities to transform your business. The release contains hundreds of new features across Dynamics 365 applications including Marketing, Sales, Customer Service, Field Service, Finance, Supply Chain Management, Human Resources, Commerce, Fraud Protection, and Business Central. Marketing Dynamics 365 Marketing improves the customer journey canvas experience and adds integration with Microsoft Teams for virtual events. Segmentation is enhanced with a new natural language experience to create and consume segments, helping eliminate the specialized skills needed to build complex segments. Sales Dynamics 365 Sales continues emphasis on simplified experiences, app integrations, gamification, a new mobile experience for quick access to customer information, and new enhancements to forecasting to natively create and manage bottom-up sales forecast processes. Dynamics 365 Sales Insights continues investments across multiple areas: sales acceleration, conversation intelligence, relationship intelligence, and advanced forecasting and pipeline intelligence with predictive lead and opportunity scoring to help sales teams uncover top deals. Dynamics 365 Product Visualize empowers sellers and accelerates complex sales processes by showcasing and customizing products in their real-world environment. Sellers can place a 3D digital twin of a product in their customer’s environment and make detailed notes about their requirements. Service Dynamics 365 Customer Service expands agent productivity capabilities enabling agents to engage in multiple sessions simultaneously. Omnichannel for Customer Service is enhanced with additional extensibility options to enable integration with mobile applications, Microsoft bot framework, and outbound messaging channels. Dynamics 365 Customer Service Insights adds new capabilities to help agents using similar case suggestions to resolve customer issues quickly and easily. A new analytical view for customer service managers helps them focus on key support areas that need attention. These highlights will also be included directly in the core Customer Service Hub app so that users can get insights in context without having to switch between applications. Dynamics 365 Field Service continues to add intelligence capabilities including a new Field Service dashboard for monitoring key KPIs and work order completion metrics. There are many user experience enhancements to enable proactive service delivery. The Field Service mobile app is enhanced with capabilities such as push notifications and real-time location sharing. This release wave also includes scheduling enhancements such as multiday manual scheduling and enhanced skill-based matching. Dynamics 365 Remote Assist expands its range of scenarios beyond calls, allowing technicians to perform activities such as capture service and repairs data, perform surveys and walk-throughs independently, and derive service insights from their service operations. Finance and Operations Dynamics 365 Finance continues to focus on automating common tasks to reduce the number of manual processes and add insights and intelligence in Finance. Asset leasing enhances the core capabilities of Finance and the global coverage for Finance continues to expand in this release wave. Dynamics 365 Supply Chain Management expands planning optimization for Manufacturing to perform supply and production planning in near real time with in-memory services. Enhancements to Product Information Management include engineering change management and product versioning capabilities. Cost Management includes new features that will enable global companies maintain multiple cost accounting ledgers by allowing dual currency and dual valuation. Enhancements to the job card device include a new user experience and a new feature to enable reporting serial numbers. Dynamics 365 Guides is focusing on intelligent workflows in this release wave. By taking advantage of data and AI innovations, work instructions can be configured to adjust on the fly based on operator inputs. In addition, insights will make it easier to use time-tracking data and connect that data to your business. Dynamics 365 Project Operations unifies operational workflows to provide the visibility, collaboration, and insights needed to drive success across teams from sales to finance. Project Operations connects your sales, resourcing, project management, and finance teams within a single application to win more deals, accelerate delivery, empower employees, and maximize profitability. Human Resources Dynamics 365 Human Resources expands leave and absence and benefits management capabilities to transform the employee experience. Employees and managers will be able to manage leave and absence directly from Microsoft Teams. This release wave enables streamlined integrations to recruiting and payroll partners, thereby building a Human Capital Management (HCM) ecosystem. Commerce Dynamics 365 Commerce continues to expand capabilities enabling non-developers to easily design and manage digital commerce experiences. Customers can increase lift online and in store with “Shop similar looks” for recommendations. Customers can discover and deploy third-party services, connectors, modules, and themes from Microsoft AppSource. Dynamics 365 Connected Store adds a number of new capabilities such as integration with Dynamics 365 Commerce, front-line worker task assignment and tracing with Microsoft Teams, integrated workflows with Microsoft Power Platform, intelligent command center, store analytics, and store insights solutions such as anomaly detection, inventory recommendations, and shift management recommendations. Fraud Protection Dynamics 365 Fraud Protection adds integration with Dynamics 365 Commerce and a new “manual review” capability that allows customers to use the Fraud Protection rules experience to flag transactions for review, and then allow expert human agents to consume and adjudicate those transactions. SMB Dynamics 365 Business Central investments for this release wave include service enhancements to meet the demands of a rapidly growing customer base, improved performance, handling of file storage, geographic expansion together with support for Group VAT, top customer-requested features, and deeper integration with Microsoft Teams. Customer data platform Dynamics 365 Customer Insights enables every organization to unify disparate data—be it transactional, observational or behavioral sources—to gain a single view of customers and derive intelligent insights that drive key business processes. Dynamics 365 Product Insights enables organizations to understand their customers’ journey, usage,

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Guide to choosing the right Microsoft Dynamics 365 partner in UAE and Dubai for ERP, CRM, implementation, and support services

How to Find the Right Dynamics 365 Partner in UAE & Dubai: A Complete Buyer’s Guide

Microsoft Dynamics 365, Microsoft Dynamics Partner /

Choosing a Dynamics 365 partner in UAE is one of the most important technology decisions your business will make. The right partner accelerates your digital transformation; the wrong one drains budget, delays timelines, and delivers a system your teams resist using. With dozens of Microsoft partners operating across Dubai, Abu Dhabi, and the wider Gulf region, how do you separate genuine expertise from marketing claims? This buyer’s guide gives you a practical framework for evaluating Microsoft Dynamics implementation partners in Dubai, UAE, and Saudi Arabia. Why Partner Selection Matters More in the UAE The UAE business environment presents unique challenges that generic partners struggle to handle: A Dynamics 365 partner in UAE must understand these realities. Partners without regional experience often deliver technically correct implementations that fail operationally. What to Look For in a Dynamics 365 Partner in UAE 1. Microsoft Solutions Partner Designations Verify the partner holds current Microsoft designations—particularly Business Applications for Dynamics 365. Legacy “Gold Partner” status has evolved into Solutions Partner designations, which require verified customer success, certified staff, and performance metrics. Ask directly: Which designations do you hold, and when were they last validated? 2. Proven UAE and GCC Project Experience Request references from businesses operating in the UAE or Saudi Arabia. Ask about: Partners with genuine regional experience will provide specific, verifiable references. 3. Full Dynamics 365 Product Coverage Microsoft Dynamics implementation partners in Dubai should support the complete stack: If your business runs legacy NAV, AX, or GP, confirm the partner has migration experience—not just new implementations. 4. Local Presence with Delivery Capability The best partners maintain offices in Dubai or Abu Dhabi while offering delivery resources across time zones. Local presence ensures responsive support; global delivery keeps costs competitive. 5. Industry-Specific Expertise Dynamics 365 requirements vary significantly by industry. A retail implementation differs fundamentally from manufacturing or financial services. Choose a partner with demonstrated experience in your sector. 6. Transparent Implementation Methodology Ask to see the partner’s methodology before signing. A structured approach should include discovery, solution design, configuration, data migration, testing, training, and hypercare support. Partners who cannot articulate their methodology clearly will likely struggle to execute it. 7. Ongoing Support and Managed Services Implementation is the beginning. Confirm what post-go-live support includes: Evaluating Microsoft Dynamics Implementation Partners in Dubai Dubai’s business landscape demands partners who understand enterprise complexity. When evaluating Microsoft Dynamics implementation partners in Dubai, focus on: Scale Experience: Have they delivered projects for organizations similar to yours in size and complexity? Compliance Knowledge: Can they configure D365 for UAE VAT, corporate tax, and e-invoicing requirements? Integration Capability: Can they connect D365 with local banking systems, government portals, and third-party applications? Change Management: Do they provide user training and adoption support tailored to multicultural teams? Evaluating Microsoft Dynamics Implementation Partners in UAE Beyond Dubai, the wider UAE market includes Abu Dhabi, Sharjah, and free zone businesses with distinct requirements. Microsoft Dynamics implementation partners in UAE should demonstrate: Evaluating Microsoft Dynamics Implementation Partners in Saudi Arabia Saudi Arabia’s Vision 2030 initiatives are driving rapid ERP modernization. Microsoft Dynamics implementation partners in Saudi Arabia must handle: Partners serving both UAE and Saudi Arabia offer efficiency for businesses operating across the GCC. Step-by-Step Buyer’s Process Step 1: Define RequirementsDocument your current systems, pain points, growth plans, and must-have integrations before approaching partners. Step 2: Shortlist PartnersUse the Microsoft Solutions Partner directory to identify partners with relevant designations and UAE presence. Step 3: Request Capability PresentationsAsk each partner to present their experience, methodology, and team credentials specific to your project. Step 4: Check References ThoroughlySpeak with at least two clients per partner. Ask about timeline accuracy, budget adherence, and issue resolution. Step 5: Review Commercial TermsCompare total cost of ownership—not just initial quotes. Confirm training hours, support duration, and customization boundaries. Step 6: Assess Cultural FitImplementation projects last months. Choose a partner whose communication style and availability align with your team. Red Flags to Avoid Questions to Ask Every Partner Final Thoughts Finding the right Dynamics 365 partner in UAE requires diligence, but the effort pays dividends. Prioritize partners with verified Microsoft credentials, proven regional experience, transparent methodologies, and strong support models. The best Microsoft Dynamics implementation partners in Dubai, UAE, and Saudi Arabia will challenge your assumptions, recommend best practices, and deliver a system your teams actually use. That combination of technical skill and business partnership turns ERP investment into competitive advantage. Ready to evaluate your options? Request designations, references, and a discovery session from your shortlisted partners. The diligence you invest now determines your success for years to come.

How to Find the Right Dynamics 365 Partner in UAE & Dubai: A Complete Buyer’s Guide Read More »

Microsoft Dynamics 365 implementation cost and planning guide covering ERP and CRM budgeting, licensing, timelines, and deployment

Microsoft Dynamics 365 Implementation Cost & Plan: A Complete 2026 Guide

Microsoft Dynamics 365 /

Microsoft Dynamics 365 implementation cost is one of the first questions every business asks—and one of the hardest to answer without context. Quotes range from $30,000 to over $1 million because D365 is not a single product. It is a family of applications, and cost depends entirely on what you deploy, how you deploy it, and who does the work. This guide breaks down real cost drivers, provides a structured implementation plan, and explains how to budget accurately for a Finance & Operations deployment in 2026. Understanding Microsoft Dynamics 365 Implementation Cost There is no standard price for D365 implementation. Costs fall into five categories, each influenced by your specific requirements. 1. Licensing Costs (Annual Subscription) Microsoft licenses Dynamics 365 per user, per month. Approximate 2026 pricing: License Type Approximate Cost Finance & Operations – Full User $180–$210/user/month Finance & Operations – Team Member $60–$70/user/month Business Central – Essentials $70/user/month Business Central – Premium $100/user/month Customer Engagement (Sales/Service) $65–$135/user/month For a 50-user Finance & Operations deployment, expect $110,000–$125,000 annually in licensing alone. 2. Implementation Services This is typically the largest cost. Implementation covers discovery, design, configuration, data migration, testing, training, and go-live support. Industry benchmarks: Implementation cost is driven by module count, customization level, integration complexity, and data volume—not user count alone. 3. Customization and Extensions D365 supports configuration without code, but many businesses need custom extensions. Development typically costs $150–$250 per hour. A moderately customized implementation may add $30,000–$150,000 to the project. 4. Data Migration Migrating from AX, NAV, GP, or SAP requires extraction, cleansing, mapping, and validation. Costs vary by data volume and quality, commonly $20,000–$80,000. 5. Ongoing Support and Maintenance Post-go-live support typically runs 15–20% of implementation cost annually. This covers system monitoring, user support, updates, and optimization. Total Cost Benchmarks for 2026 Business Size Users Estimated First-Year Cost Small 10–25 $80,000–$180,000 Mid-Market 25–100 $200,000–$500,000 Enterprise 100–500 $500,000–$1,500,000 Large Enterprise 500+ $1,500,000+ These figures include licensing, implementation, and first-year support. Multi-country rollouts, heavy customization, and complex integrations push costs toward the upper range. What Drives Cost Up or Down Cost Increases: Cost Decreases: The single biggest cost lever is customization discipline. Businesses that adopt standard D365 processes consistently spend 30–40% less than those that recreate legacy customizations. Building a Dynamics 365 Implementation Plan A well-structured Dynamics 365 implementation plan follows six phases. Phase 1: Discovery and Requirements (4–8 Weeks) Document current processes, pain points, and requirements. Identify which modules are needed and map processes to D365 capabilities. Output: requirements document and preliminary cost estimate. Phase 2: Solution Design (4–6 Weeks) Design the future-state solution: module configuration, integrations, data model, and reporting. Output: functional design document and project plan. Phase 3: Configuration and Development (8–16 Weeks) Configure D365 modules, build necessary extensions, and set up integrations. Output: configured environment ready for testing. Phase 4: Data Migration and Testing (6–10 Weeks) Extract and cleanse legacy data, load into D365, and execute unit, integration, and user acceptance testing. Output: validated system with verified data. Phase 5: Training and Cutover (3–6 Weeks) Train users by role, prepare cutover plan, and execute go-live. Output: live production system with trained users. Phase 6: Hypercare and Optimization (4–12 Weeks Post Go-Live) Provide intensive support, resolve issues, and optimize performance. Output: stable system with confident users. Typical total timeline: 6–12 months for mid-market; 12–24 months for enterprise multi-country rollouts. Implementing Microsoft Dynamics 365 for Finance and Operations Finance & Operations (F&O) is the most complex D365 application and typically the most expensive to implement. Key cost considerations specific to F&O: Businesses implementing F&O should budget $250,000–$600,000 for a mid-market deployment including licensing, services, and first-year support. How to Reduce Implementation Cost Without Compromising Quality 1. Adopt standard processes. Every customization avoided saves $5,000–$20,000 in build, test, and maintenance. 2. Choose the right partner. A partner with your industry experience uses proven templates and avoids costly discovery. 3. Phase your rollout. Go live with core finance first, then add modules. This spreads cost and reduces risk. 4. Invest in data cleansing early. Clean data reduces migration effort and prevents post-go-live issues. 5. Train super-users internally. Reducing reliance on partner training lowers cost and builds internal capability. 6. Negotiate multi-year licensing. Microsoft offers volume discounts for longer commitments. Choosing a Partner Who Controls Cost Implementation cost is heavily influenced by partner efficiency. When evaluating partners, ask: Partners with strong methodology and industry focus consistently deliver lower total cost than generalists. Final Thoughts Microsoft Dynamics 365 implementation cost depends on scope, complexity, and partner choice—not a fixed price list. A 25-user Finance deployment may cost $150,000; a 500-user global rollout may exceed $1.5 million. The most effective cost strategy is disciplined scope management: adopt standard functionality, phase your rollout, invest in data quality, and select a partner with proven industry experience. Businesses that follow this approach achieve faster go-live, lower total cost, and higher user adoption. Planning a D365 implementation? Request a detailed cost estimate and implementation roadmap from a certified Microsoft partner before committing budget.

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FinClose AI and AP automation dashboard using agentic AI to automate invoices, reconciliation, journal work, and month-end close.

FinClose AI & AP Automation: How Agentic AI Is Changing Month-End Close and Accounts Payable

FinClose AI + AP Automation /

Every month, Finance teams go through the same cycle: reconcile accounts, check sub-ledgers, prepare variance analysis, process invoices, reconcile bank statements, prepare journals and chase exceptions. The work is essential. But most of it is repetitive, rule-based and done under deadline pressure. The question is no longer whether AI can report on this work. It’s whether an AI Agent can do the work instead of just reporting on it — while your people stay in control. The problem: month-end close is still manual Trial balance, sub-ledgers, bank reconciliation, variance analysis, GST/VAT checks, journal postings, approvals. One deadline, hundreds of checks, too many spreadsheets. That is why month-end still feels like a month-end crisis in so many organisations. The growth problem: more transactions, more people? As a business grows, so does the Finance workload: more invoices, more vendors, more transactions, more reconciliations, more month-end work. The traditional answer is to hire more people. The AI answer is to add an Agent — and scale Finance operations without scaling Finance payroll. What FinClose AI does FinClose AI is an agentic close layer. Instead of Finance teams manually moving through every task, it: The shift is from manual checklists to Agentic Close — closing faster so Finance can analyse sooner. What AP Automation does Look at the life of a typical invoice: a PDF arrives, someone downloads it, reads it, enters the data, checks GST/TDS, matches the PO, checks the receipt, routes the approval and posts it. That’s not Finance transformation. That’s Finance administration. AI AP Automation can capture invoices from PDFs, scans and emails, validate them, perform matching and route exceptions — while clean invoices move through straight-through processing. It is designed to absorb rising invoice volumes without linear AP headcount growth. From manual reconciliation to exception-based reconciliation Thousands of transactions, hundreds of matches, unexplained differences and another spreadsheet. An AI Agent can work continuously through the reconciliation process and surface only what needs human attention. Your Finance team shouldn’t spend their day looking for problems — AI should find them. Human in control, AI doing the work This is not about removing people from Finance. It is about changing what they spend their time on: Month-end doesn’t care that it’s 7 PM. Let AI work while you sleep — and let Finance wake up to exceptions, not spreadsheets. Works with the ERP you already have The approach is ERP-agnostic, supporting SAP, Oracle, Microsoft Dynamics and mixed ERP landscapes — without a rip-and-replace strategy. Your existing ERP stays. Your existing Finance team stays. The manual work doesn’t. Is your Finance team ready for an AI Agent? Ask yourself: If the answer to two or more is yes, an AI Finance Workforce could make a measurable difference. Book a free FinClose AI & AP Automation Assessment Trident offers a complimentary assessment session to review your close and AP processes, identify where an AI Agent can take over repetitive work, and outline what an exception-based Finance operation would look like for your business. You don’t need another Finance resource. You need an AI Agent that works like one. Book your free assessment.

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ERP software dashboard for sweet and namkeen manufacturing showing recipe management, batch production, inventory, costing, and traceability.

Best ERP Software for Sweet & Namkeen Manufacturing in 2026: Complete Buyer’s Guide

Food Manufacturing ERP, Sweet Manufacturing with LS Retail /

India’s sweet and namkeen brands have outgrown the ledger book and the single-shop billing counter. Many now run central manufacturing units, regional warehouses, and dozens of retail outlets — and that growth exposes a problem most traditional players were never built to solve: keeping taste, cost, and compliance consistent when you can no longer see every batch yourself. That’s the gap an ERP is meant to close. But the category is crowded, ranging from lightweight billing-and-inventory tools built for a single sweet shop to full enterprise platforms built for multi-plant manufacturers. Pick the wrong tier and you either outgrow your software fast, or overpay for capability you don’t need yet. Here’s what matters when evaluating ERP software for sweet and namkeen manufacturing in 2026 — and where Microsoft Dynamics 365 fits. Why This Industry Needs a Different Kind of ERP Generic manufacturing ERPs are built for discrete, bill-of-materials assembly. Sweet and namkeen production is process manufacturing, with its own demands: Any ERP that doesn’t natively handle these will need heavy customization — and every customization becomes a future upgrade headache. What to Evaluate Criteria What to look for Recipe & formula management Native yield/by-product calculation, not bolt-on BOM workarounds Batch & lot traceability Full raw-material-to-shelf tracing with one-click recall reporting Multi-location & multi-entity Central kitchen, plants, and outlets on one system, across states or entities Retail & POS integration Production and store sales genuinely connected, not nightly file exports Costing accuracy True batch cost including yield loss and wastage Scalability Grows from one plant to national/international without a platform change Compliance FSSAI, GST, and export documentation from system data Total cost of ownership License + implementation + inevitable customization, evaluated together The ERP Landscape, in Three Tiers Tier 1 — Sweet-shop POS-plus-inventory tools. India-focused vendors bundling GST billing, basic recipe linking, and multi-outlet stock. Good for a small regional chain; thin on financial consolidation and true process costing. Tier 2 — Vertical food/process ERPs. Global process-manufacturing specialists with formula management and traceability, often layered on platforms like SAP Business One. More depth than Tier 1, but usually built for general food processing, not Indian sweets and namkeen specifically. Tier 3 — Enterprise platforms (Microsoft Dynamics 365). Manufacturing sits alongside finance, supply chain, and retail on one platform. This is where scaling brands land once they need more depth than Tier 1 or 2 offer without heavy customization. Why Dynamics 365 Leads for Scaling Manufacturers As a Microsoft Solutions Partner working with food manufacturing and retail clients across India, the UAE, and East Africa, we see the same pattern repeatedly: brands outgrow lightweight retail software and need real process costing, financial consolidation, and a retail experience connected to the factory floor — together. The advantage isn’t one feature — it’s manufacturing, inventory, finance, retail, and Power BI reporting on a single platform, instead of five tools stitched together by hand. Before You Sign Ask any vendor: Can you calculate true batch cost after yield loss? Can I trace one raw material lot to every product and outlet in one report? Is multi-entity support native or custom-built? Is POS genuinely integrated with production? What does year-three total cost look like, including customization? Final Recommendation A small, single-city retail chain may do fine on a Tier 1 tool. But if you’re manufacturing at real scale — batch traceability, yield-based costing, multiple locations, or manufacturing plus retail together — Dynamics 365 is built to grow with you rather than become the system you outgrow next. Trident Information Systems implements Dynamics 365 Business Central, LS Central, and Dynamics 365 Finance & Supply Chain Management for food manufacturers and retailers across India, the UAE, and East Africa. Talk to our team for a needs assessment specific to your production setup and growth plans.

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AI-powered retail video analytics system monitoring customer behavior, store traffic, and theft prevention.

Retail Video Analytics: How AI-Powered Cameras Increase Sales, Reduce Theft & Improve Customer Experience

Video Analytics Solutions /

Retail shrinkage hit USD 112 billion in 2025 — and traditional cameras caught fewer than 2% of the people responsible. AI-powered retail video analytics changes that equation entirely, turning every camera in your store into a real-time intelligence asset that increases sales, prevents theft, and elevates customer experience. Your store cameras are recording everything. But are they actually doing anything? Most retail security cameras are passive — they document what happened after it is already too late. A theft is captured on footage. A queue builds unnoticed until customers walk out. A high-value display sits in a low-traffic aisle because nobody tracked footfall patterns. In 2026, that is no longer good enough — and the numbers make that clear. Global retail shrinkage reached USD 112.1 billion in 2024. Fewer than 2% of shoplifters are ever caught. And retailers still relying on traditional CCTV are losing money daily to theft, missed sales opportunities, and poor store layouts — without knowing it. AI-powered retail video analytics changes every one of these outcomes. Here is exactly how. What Is Retail Video Analytics? Retail video analytics applies artificial intelligence and computer vision to your existing camera infrastructure — transforming passive footage into real-time, actionable business intelligence. It does not just record. It analyses, detects, alerts, and gives managers a live view of what is happening on the floor so they can act in the moment. In 2026, AI video analytics is no longer reserved for enterprise retailers — mid-size chains, supermarkets, and pharmacy chains are all deploying it because the ROI is measurable and fast. 1. Increase Sales Through Smarter Store Intelligence Every square metre of your retail floor has revenue potential. The question is whether you are maximising it — or guessing. AI-powered cameras track customer movement patterns in real time, generating heat maps that show exactly where shoppers spend time, which zones they avoid, and where traffic naturally flows. This data reveals: Armed with this intelligence, retailers optimise layouts, reposition displays, and staff the right areas at the right times — directly lifting conversion rates and basket values. Retail video analytics also calculates your conversion rate accurately — foot traffic counted at the door versus transactions at the POS — giving you a metric that is impossible to track without camera-based counting. If 500 people enter your store and only 80 buy, video analytics tells you where the other 420 left without purchasing — and why. 2. Reduce Theft and Shrinkage in Real Time Retail shrinkage costs the industry over USD 120 billion annually across North America alone — more than double pre-2020 levels. External theft accounts for 37% of losses, employee theft 29%, and process errors 21%. Traditional cameras record theft after it happens. AI video analytics detects it before merchandise leaves the store. Key capabilities that make this possible in 2026: Behavioural detection — AI identifies suspicious patterns in real time: loitering near high-value merchandise, unusual concealment movements, and extended dwell times in restricted areas — triggering instant alerts to security staff. Self-checkout loss prevention — self-checkout lanes run 2–7 times higher loss rates than staffed lanes. AI cameras at the bagging area monitor items in real time, flagging scan-skip attempts and item substitution before the transaction completes. POS transaction correlation — video footage is matched to POS data automatically, detecting employee fraud patterns, void abuse, and sweethearting that manual monitoring consistently misses. Organised retail crime detection — AI systems identify repeat offenders and coordinated group behaviour across camera feeds simultaneously — a capability no human monitor team can replicate at scale. A well-implemented AI video analytics system can take 0.2–0.4 percentage points off a retailer’s shrinkage rate — which for a 200-store chain running at 1.8% shrinkage translates to hundreds of thousands in recovered revenue annually. 3. Improve Customer Experience Through Operational Intelligence The customer experience begins the moment someone enters your store — and AI-powered cameras track every touchpoint of that journey. Queue management — AI monitors checkout queue lengths in real time and alerts managers when thresholds are crossed. Customers who abandon queues represent direct lost revenue. Real-time queue intelligence allows staffing decisions to be made in minutes, not after post-day reports. Staff deployment — heat map data aligned with historical footfall patterns allows store managers to position staff where customers are — not where instinct suggests they should be. Demographic and behaviour insights — anonymised customer flow data reveals how different customer groups navigate the store, how long they engage with specific displays, and what layout changes improve dwell time and purchase intent. Out-of-shelf detection — AI cameras flag empty shelves automatically, enabling faster replenishment during peak trading hours and preventing the lost sales that empty shelves create. Every one of these improvements lifts customer satisfaction, basket size, and repeat visit rates — the metrics that drive long-term retail profitability. Why Retailers Are Deploying AI Video Analytics Now In 2026, anonymised skeleton and keypoint-based analytics deliver full behavioural intelligence without facial recognition — addressing regulatory concerns while maintaining complete operational capability. Retailers deploying this now are building a competitive advantage their competitors simply cannot replicate with traditional cameras. Your cameras are already installed. AI video analytics makes them work. Trident Information Systems integrates AI-powered retail video analytics with Microsoft Dynamics 365 and LS Retail solutions — giving retail chains real-time store intelligence across all locations. Talk to our experts at tridentinfo.com/contact.

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AI demand forecasting software analyzing inventory, production demand, and sales trends for food manufacturers.

Stop Wasting Inventory: The 2026 Guide to AI Demand Forecasting Software for Food Manufacturers

Food & Beverages ERP, Food Manufacturing ERP /

Every food manufacturer knows the pain. You overproduce and write off finished goods. You underproduce and disappoint your biggest customer. You order too much raw material and watch it expire on the shelf. You order too little and halt a production line. This is not a management failure. It is a forecasting failure. And in 2026, AI demand forecasting software is the tool that eliminates it. The global AI food demand forecasting market has grown to USD 1.6 billion in 2025 and is projected to reach USD 5 billion by 2033 — growing at a 34.50% CAGR. The food manufacturers driving that growth are not the largest companies in the world. They are mid-size producers who got tired of losing margin to inventory problems they could finally afford to solve. This is your guide to how AI demand forecasting works, what it delivers, and why 2026 is the year to stop running production on gut feel. Why Traditional Demand Forecasting Is Failing Food Manufacturers Most food manufacturers still forecast demand the same way they did a decade ago — historical averages, spreadsheet models, and the instinct of experienced production managers. This approach has three fatal flaws in 2026. First, it ignores external signals. Demand for food products is influenced by weather, local events, festivals, social media trends, and economic conditions — none of which a spreadsheet can process automatically or at scale. Second, it is always looking backward. Historical sales data tells you what happened. It does not tell you what is about to happen — especially in volatile markets where consumer preferences shift faster than quarterly review cycles. Third, it cannot operate at SKU level. A mid-size food manufacturer may manage hundreds of SKUs across multiple production lines, pack sizes, and customer channels. Manual forecasting at this level of granularity is simply not possible without sacrificing accuracy. The result: overproduction, waste, stockouts, and the working capital pressure that comes from carrying excess inventory. What AI Demand Forecasting Software Actually Does AI demand forecasting software replaces guesswork with machine learning models that analyse multiple data streams simultaneously — and continuously improve their predictions over time. Here is what a modern AI forecasting system processes: Historical sales data — but analysed at granular SKU, customer, and channel level, not just in aggregate. Seasonality and festival patterns — automatically identifying demand spikes tied to Diwali, Holi, Eid, wedding season, and regional festivals without manual adjustment. Weather and external signals — integrating temperature, rainfall, and local event data that influence demand for perishable food products. Production and inventory data — connecting actual stock levels, batch production records, and purchase orders to close the loop between forecast and execution. Supplier lead times — factoring procurement timelines into raw material planning so you are never caught short on critical ingredients. The result is a forecast that is not a static weekly number — it is a continuously updated, multi-variable prediction that gets more accurate every production cycle. The Business Impact: What Food Manufacturers Are Achieving The numbers from real-world AI forecasting deployments in the food industry are compelling. McKinsey research shows AI-driven demand forecasting improves service levels by up to 65% while reducing inventory costs by 20–30%. Kraft Heinz improved forecast accuracy by 8%, cut excess inventory by 25%, and reduced food waste by 10% using AI forecasting tools. Walmart’s AI-powered fresh product forecasting platform cut food waste by USD 86 million in a single year. For mid-size food manufacturers — sweet producers, namkeen manufacturers, bakeries, dairy processors, and packaged food brands — the scale is smaller but the impact is proportionally just as significant: Machine learning models have been shown to reduce forecast error rates from 35% down to 15% in food manufacturing environments — a difference that translates directly into recovered margin on every production run. Key Features to Look for in AI Demand Forecasting Software Not all demand forecasting tools are created equal. For food manufacturers specifically, here is what matters: SKU-level forecasting — the ability to forecast demand at individual product, pack size, and customer level — not just category or brand. ERP and production system integration — your forecasting tool must connect directly to your inventory, purchase orders, and production planning system to close the loop between prediction and execution. Festival and seasonality intelligence — built-in recognition of India’s complex demand calendar, including regional festivals that affect different markets at different times. Perishable goods handling — shelf-life awareness that factors expiry dates into both raw material planning and finished goods production scheduling. What-if scenario planning — the ability to model the impact of a new customer order, a raw material price spike, or a production line outage on your demand and supply position. Mobile and dashboard access — production managers and procurement teams need forecasting insights at their fingertips, not buried in a weekly report. AI Forecasting + ERP: The Combination That Closes the Loop AI demand forecasting software delivers its maximum value when it is connected to your ERP system. Standalone forecasting tools tell you what demand will look like. ERP systems manage raw material procurement, batch production, inventory, and sales. When the two work together — with AI forecasting feeding directly into ERP production planning — you get a closed-loop system that automatically adjusts purchasing, production scheduling, and inventory allocation based on the latest demand signal. This is exactly what Trident’s Microsoft Dynamics 365-based food manufacturing ERP solution enables. With AI-powered demand forecasting integrated directly into production planning, procurement, and inventory management — food manufacturers get a single platform where the forecast drives action automatically, without manual intervention. The Bottom Line for Food Manufacturers in 2026 Inventory waste is not inevitable. Stockouts are not unavoidable. Overproduction is not just “the cost of doing business.” They are the predictable results of forecasting methods that were never designed for the complexity, speed, and data volume of modern food manufacturing. AI demand forecasting software, integrated with your ERP, changes the equation permanently. The manufacturers who adopt it in 2026 will

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Item to Fixed Asset for Business Central — Help & Documentation | Trident Item to Fixed AssetDynamics 365 Business Central · Trident Setup Guides FAQ Privacy Policy Get it on AppSource Microsoft AppSource · Finance & Fixed Assets Turn a purchased item into a Fixed Asset — in one step. Buy hardware, equipment or machinery through your normal purchase process in Business Central, then capitalize it as a Fixed Asset without a single manual journal. The app carries the cost, serial number and asset details straight onto a new Fixed Asset card — ready to depreciate. Get it on AppSource Read the guide Inventory item ITEM · Inventory‑ Received on a purchase order, transfer a FA Item, send for repair Convert Fixed asset Fixed Assets · ‑ Capitalized · depreciating · Sales · Write-Off PlatformDynamics 365Business Central AvailabilityMicrosoft AppSource AreaFinance · Fixed Assets DeploymentCloud & On‑premises On this page Overview Key capabilities How it works Prerequisites Install from AppSource Set up an item as an asset Step‑by‑step guides Business rules FAQ Support & feedback Figure Index Introduction What Item to Fixed Asset does Some things you buy as inventory don’t stay inventory. A laptop, a machine, or a piece of equipment purchased through procurement is often put into long-term company use — which means it belongs on the balance sheet as a capitalized asset, not in stock. Item to Fixed Asset is a Microsoft Dynamics 365 Business Central extension from Trident Information Systems that bridges that gap. You purchase the item the way you always do — a purchase order, transfer order, RGP, serial-number tracking, goods receipt and posting — and then convert it into a Fixed Asset from a single page. The app creates the Fixed Asset card for you and carries across the description, serial number, asset class, location and acquisition cost, so the asset is ready to depreciate straight away. It solves two everyday problems for finance and operations teams: Capitalization of the asset. An item bought as stock is recorded as a company Fixed Asset once it’s put into use — no re-keying and no manual acquisition journals. Depreciation tracking. After conversion the asset is attached to a depreciation book, so you can run depreciation (straight-line, declining balance, and the other methods your book supports), track book value, and see remaining useful life. Sales of the assets. A Fixed Asset that has reached the end of its useful life or is otherwise disposed of is sold directly from its asset record — no re-keying and no manual disposal journals. The sale posts the disposal, reverses the accumulated depreciation, and recognises the gain or loss automatically, keeping the asset ledger and the general ledger perfectly in sync. Because everything flows through standard Business Central documents, your inventory ledger, Fixed Asset ledger and general ledger stay reconciled at every step — and the app adds guardrails (for example, cost changes are locked once an item becomes an asset) so the numbers stay clean. Capabilities What you get One-step conversion Convert a received item into a Fixed Asset from the FA Purchase Pending page — no manual FA acquisition journal required. Serial-number traceability The item’s serial number follows it from purchase, onto the Fixed Asset card, and through every later movement. Fixed Asset card, filled in Class, sub-class, location, posting group and acquisition cost are populated automatically from the purchased item. Depreciation-ready The new asset is linked to a depreciation book, so you can post depreciation and track book value immediately. Cost controls Item charges can be applied only before conversion. Once the item is an asset, its cost is locked to keep valuation accurate. Asset movement (RGP) Send an asset out for repair or maintenance and receive it back using a Returnable Gate Pass shipment and receipt. Asset relocation Move an asset between offices, branches, plants or sites with a Transfer Order — with no gain or loss and no change to asset value. Full GL visibility Every step posts a traceable financial entry and voucher, and FA Item Ledger Entries are visible from the item card. The lifecycle How it works, end to end The app follows the life of the asset — from a flagged item, through purchase and conversion, to movement and relocation. The first three stages capitalize the asset (shown in blue); the last two keep it maintained in the field (shown in amber). Stage 1Flag the itemTurn on Item as FA and complete its asset fields. Stage 2Purchase & receivePurchase order, serial number, gate entry, then post. Stage 3ConvertConvert from FA Purchase Pending — the FA card is created. Stage 4Move (RGP)Ship an asset out and receive it back on return. Stage 5RelocateTransfer an asset between sites — value unchanged. Before you start Prerequisites To use Item to Fixed Asset, make sure the following are in place in your Business Central environment: A supported version of Microsoft Dynamics 365 Business Central (cloud or on‑premises). PLACEHOLDER — state the exact minimum supported version, e.g. “Business Central 2024 release wave 1 (v24) or later”. Fixed Assets configured: FA classes, sub-classes, FA locations, FA posting groups and at least one depreciation book. Item tracking: a serial-number item tracking code for the items you plan to convert, so each asset can be traced individually. New to Business Central Fixed Assets? Set up your classes, locations, posting groups and a depreciation book first — the conversion step relies on these to build the asset card correctly. Installation Install from Microsoft AppSource Open the listing. Go to the Item to Fixed Asset page on Microsoft AppSource, or in Business Central open Extension Marketplace and search for Item to Fixed Asset by Trident Information Systems. Get it now. Select Get it now, choose the environment and language you want to install into, and confirm. Wait for installation. Business Central installs the extension. You can check progress under Extension Management. Assign permissions. Give the relevant users the app’s permission set so they can access the new pages and actions. Setup Set

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Fashion inventory management software dashboard tracking stock levels, demand, and real-time inventory performance.

Fashion Inventory Management Software: 7 Ways to Reduce Stockouts & Overstock (2026)

Apparel Manufacturing Software, Apparel Retail /

Nothing frustrates a fashion customer like seeing “Out of Stock” on the product they want. And nothing frustrates a business owner like clearing out last season’s unsold inventory at 70% discount. Stockouts and overstock are two sides of the same costly problem – poor inventory visibility. The right inventory management software eliminates both by giving you real-time control across every location, season, and SKU. This 2026 guide reveals 7 proven ways fashion inventory management software keeps customers happy and cash flow healthy. The fashion industry’s biggest profit killers – stockouts and excess inventory – cost retailers 20-30% of potential revenue. Discover 7 proven strategies using Microsoft Dynamics 365 and LS Central to optimize inventory, reduce markdowns by 30%, and improve sell-through rates by 40%. A customer walks into your flagship store asking for a medium-size black dress from your new collection. “We’re sold out in medium, but we have it in small and large,” your sales associate says. The customer leaves. Sale lost. Meanwhile, in your warehouse, 47 extra-large versions of the same dress sit gathering dust – destined for a 50% markdown in three months. This scenario plays out thousands of times daily across fashion retail. Stockouts cost you full-price sales. Overstock costs you margin through markdowns. Together, they’re destroying 20-30% of your potential profit. But it doesn’t have to be this way. Fashion retailers using Microsoft Dynamics 365 Commerce and LS Central for Fashion are achieving 30% reduction in markdowns, 40% improvement in inventory turns, and 25% fewer stockouts – all while maintaining the agility that fashion demands. Here are the 7 proven strategies they’re using. 1. Size & Color Matrix Demand Forecasting Predict demand at the size-color-style level, not just aggregate SKU level The Problem: Aggregate Forecasting Fails in Fashion Traditional inventory systems forecast at the “style” level: “We’ll sell 500 units of the Spring Floral Dress.” But they ignore the matrix reality: The result? You buy 500 units distributed equally across all combinations. But demand isn’t equal: The LS Central Solution: Matrix-Level Demand Planning LS Central for Fashion uses historical sales data to forecast demand at the size-color-style combination level: How Microsoft Dynamics 365 Powers This Dynamics 365 Commerce integrates with LS Central to provide: Real Business Impact A pan-India women’s fashion chain with 45 stores implemented matrix-level forecasting and achieved: Pro Tip Start with your top 20% of styles (by revenue). Get matrix forecasting working accurately for these hero items first. Once proven, expand to mid-tier and basic items. This “crawl, walk, run” approach builds confidence and shows ROI fast. 2. Real-Time Inventory Visibility Across All Channels Enable “see now, buy now” with unified inventory across stores, e-commerce, and warehouses The Omnichannel Inventory Challenge Modern fashion retail operates across multiple channels: The problem: Each channel often has its own inventory system. Result = overselling, stockouts, customer frustration, and operational chaos. LS Central’s Unified Inventory Solution LS Central provides a single, real-time inventory pool visible across all channels: Store Inventory Visibility Every store sees real-time stock at all other stores. “This dress is sold out here, but our Indiranagar store has it in your size. Shall we ship it to you?” E-Commerce Integration Website shows accurate availability. If only 2 units left across entire chain, it shows “Only 2 left!” urgency message. Order Promising System intelligently sources orders from optimal location (nearest store, warehouse with excess stock, etc.) Auto-Replenishment When flagship store runs low on bestsellers, system automatically triggers transfer from warehouse or slow-moving stores Microsoft Dynamics 365 Commerce Capabilities Dynamics 365 Commerce orchestrates omnichannel fulfillment: 18% Increase in conversion rate when customers can see real-time stock availability (source: Microsoft Dynamics 365 Fashion Retail Study 2025) Microsoft Integration Advantage LS Central + Dynamics 365 Commerce + Power BI creates a complete ecosystem: Real-time inventory updates flow from POS to e-commerce in under 5 seconds. Store associates use mobile devices to check stock anywhere. Executives see live inventory dashboards showing velocity, aging, and stockout risk by SKU. 3. Dynamic Allocation Based on Store Performance Send the right inventory to the right stores, not equal distribution The Equal Distribution Trap Many fashion retailers distribute new inventory equally across all stores: Why this fails: LS Central’s Smart Allocation Engine LS Central allocates inventory based on predicted sell-through, not equal distribution: Allocation Factors: Example: Dynamic Allocation in Action New summer dress collection: 1,000 units across 25 stores Traditional equal allocation: 40 units per store LS Central smart allocation: Result: Flagship stores don’t run out in week 1. Small stores don’t get stuck with excess. Total sell-through improves by 25-35%. Microsoft Dynamics 365 AI Allocation Dynamics 365 Supply Chain Management adds intelligence: Pro Tip: Tiered Store Grading Classify stores into A/B/C tiers based on sales volume and strategic importance. A-tier stores get first access to new inventory and larger allocations. C-tier stores get basics and proven bestsellers. This maximizes sell-through while maintaining coverage across network. 4. Automated Replenishment for Core & Fashion-Basic Items Never run out of your bread-and-butter items while chasing trends The Fashion Product Lifecycle Not all fashion inventory behaves the same way: Fashion/Seasonal Items (60% of SKUs, 40% of revenue) Fashion-Basic Items (30% of SKUs, 40% of revenue) Core/Never-Out-of-Stock (10% of SKUs, 20% of revenue) LS Central’s Multi-Speed Replenishment LS Central manages each category differently: Auto-Replenishment for Core System monitors sales velocity and automatically triggers purchase orders or warehouse transfers when stock drops below min threshold. Example: Black skinny jeans reordered every 2 weeks. Performance-Based for Fashion-Basic After 2-4 weeks of sales data, system recommends reorder quantities for items selling above forecast. Poor performers get no replenishment – natural phase-out. One-Time Buy for Fashion Seasonal/trendy items purchased once based on forecast. System alerts when sell-through exceeds plan (reorder opportunity) or lags (markdown trigger). Microsoft Dynamics 365 Intelligent Replenishment Dynamics 365 Supply Chain Management adds sophistication: Case Study: Ethnic Wear Retailer A 32-store ethnic fashion chain implemented tiered replenishment strategy: 5. Intelligent Markdown Optimization Maximize recovery on slow-movers while protecting brand and margin The Markdown Dilemma Fashion retailers face a constant trade-off: LS Central Markdown Intelligence LS Central uses AI-powered markdown optimization to recommend: When to Mark Down How

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