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Customer Story : CRANE Worldwide Logistics centralised their sales platform with Microsoft Dynamics 365

As it approached its 10-year anniversary and its first billion in revenue, global logistics and freight company Crane Worldwide Logistics looked for a modern platform that brought all its sales tools into one place. With the Microsoft Relationship Sales solution, which brings together LinkedIn Sales Navigator and Microsoft Dynamics 365 for Sales, its salespeople have the tools to drive more meaningful engagements with customers, convert opportunities faster, and create more revenue. Just by getting the team using the platform, we’ve seen an uplift in activity in all areas. We’ve had record growth since implementing Microsoft Relationship Sales—the last quarter was excellent for us. John Jergens: Vice President of Global Sales Crane Worldwide Logistics A global sales team From a startup created in the risky business climate of the 2008 recession, Crane Worldwide Logistics has become a major player in the global transport and logistics industry, on track to hit USD1 billion in revenue in 2019. Created by former Eagle Global Logistics executives and headquartered in Houston, Texas, Crane Worldwide aims to provide customers with full transparency into its supply chains by coupling talented people with game-changing technology. But with salespeople spread across the globe, Crane Worldwide found itself with a visibility problem. “We weren’t all working on a common platform, so we were lacking in visibility,” says John Jergens, Vice President of Global Sales at Crane Worldwide. “We knew we had a vast sales pipeline out there, but there wasn’t much data available on it—so we couldn’t see how robust it was.” From data silos to connected visibility A key part of the Crane Worldwide ethos is providing customers with meaningful interactions—and that relies on having a customer relationship management (CRM) solution that salespeople can use to build and maintain relationships and convert opportunities more effectively. But, with a seven-year-old siloed CRM system that it had simply outgrown, the company lacked the tools its salespeople needed. “The previous system never had very good adoption,” Jergens adds. “It just wasn’t very functional.” So, the team went looking for a platform that could replace it. With implementation support from Microsoft Partner Network member PowerObjects, Crane Worldwide deployed the Microsoft Relationship Sales solution, a powerful combination of Microsoft Dynamics 365 for Sales and LinkedIn Sales Navigator, to support personalized, meaningful customer engagements. The team was already using LinkedIn Sales Navigator and Microsoft Office 365, so Dynamics 365 for Sales was the ideal addition to the Crane Worldwide ecosystem. “We saw how Microsoft Relationship Sales could help us focus on being easy to work with from a customer’s perspective,” explains Jergens. “So this whole deployment was part and parcel of becoming easier to do business with.” Now, just six months into deployment, Crane Worldwide has 300 Microsoft Relationship Sales users in its ranks, including 150 direct sellers along with employees from its marketing and account management teams. New processes, simpler sales Using the Microsoft Relationship Sales solution, Crane Worldwide salespeople have already changed the way they work. And they’re reaping the benefits of the visibility they’ve gained into the sales pipeline. “Once we rolled out Microsoft Relationship Sales, the overwhelming response was that it’s really easy to use, and it doesn’t take much time,” says Jergens. “We created a very simple weekly routine where our sellers spend about 30 minutes adding new data into Dynamics 365 for Sales. That’s just six minutes a day to keep everything up to date.” With faster processes freeing up more time for the sales team, sellers can focus their energy where it matters most—building the customer relationships that turn into revenue. And, at the end of each week, management can analyze activity through a global dashboard, which combines CRM and customer interaction data into detailed executive reports that show how salespeople are turning relationships into revenue. “With Microsoft Relationship Sales, we can generate KPIs that tell us what a healthy pipeline should look like. We look at the number of prospects and targets, how long the sales cycle takes, and the time from when we close an account to the time it generates revenue,” explains Jergens. “And if the pipeline isn’t where it should be, we can support the sellers with the resources that they need—it’s more productive all around.” A centralized sales platform Because Microsoft Relationship Sales brings together so many sales capabilities, Crane Worldwide sellers have everything they need to do their jobs in one place. Previously, they had to manage a relationship from scoping to sale across disconnected tools and platforms, far from an efficient process. “It’s difficult to put a number on what it’s like to manage 30 or 40 customers with an email folder and a spreadsheet,” says Jergens. “Now, once the salesperson finds a prospect using LinkedIn Sales Navigator, they use Dynamics 365 for Sales to easily track those conversations. Instead of creating and referencing a lot of notes, they can quickly link activities and discussions through Microsoft Relationship Sales.” With LinkedIn Sales Navigator and Dynamics 365 for Sales together, salespeople can start building the context they need to deliver a meaningful interaction before the first contact even occurs. Insight into potential prospects’ roles, connections, and priorities through LinkedIn Sales Navigator is fed straight into Dynamics 365 for Sales—increasing conversion chances from the very start. “It’s had a direct impact on the time it takes to develop customer relationships, because we have true visibility into those opportunities now,” explains Jergens. A built-in assistant also sends prompts to help sellers accelerate the sales cycle, reminding them to contact a lead that might go cold or nudge an opportunity as it approaches its estimated close date. A roadmap for integration In businesses the world over, sales and marketing teams struggle to communicate and collaborate effectively. As the sales team adapts to Microsoft Relationship Sales, Crane Worldwide is already adopting more of the solution’s capabilities to help sales and marketing stay on the same path. “The marketing teams are able to work in tandem with the sales team to help them understand how marketing activities can help nurture their

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Dynamics 365: 2020 release wave 2 plan

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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Case Study : Abu Dhabi government builds one-of-a-kind integrated customer service platform using Microsoft Dynamics 365

Established to lead excellence in government services, Abu Dhabi Digital Authority (ADDA) strives to lead the digital future of Abu Dhabi. Taking advantage of Microsoft Dynamics 365, Power BI, and Azure solutions, TAMM integrates Abu Dhabi government services to provide communities and businesses with a seamless, proactive, and personalized customer experience, one that promises to change the way UAE citizens and residents interact with their government for the better. [/vc_column_text][vc_column_text][/vc_column_text][vc_column_text] Abu Dhabi as a digital innovation destination Abu Dhabi Digital Authority (ADDA) has a vision that offers a new way of interacting with the citizens and residents in Abu Dhabi and throughout the world. ADDA’s vision embraces technology that delivers value through innovation and service excellence. ADDA is building a digital hub that integrates Abu Dhabi’s 1,600 government and business services with over 55 entities into one central platform. This modernizing journey toward global competitiveness means citizens can look forward to a smarter, happier future with better quality of life—all thanks to the TAMM integrated services platform. Digital smart government, powered by Microsoft The TAMM integrated service platform is an intelligent customer support center. Taking advantage of Microsoft Dynamics 365, Power BI, and Azure solutions, TAMM unifies Abu Dhabi’s government and business services into 80 integrated journeys. This integration merges a 360-degree view of customers’ information and their interactions across the government into a seamless, proactive, and personalized customer experience. It promises to completely revolutionize the way citizens interact with the government. Dynamics 365 creates a seamless omni-channel experience. The portal provides United Arab Emirates (UAE) citizens, residents, and visitors with a range of government services through one access point. Operating with Azure and AI increases efficiency and improve customer experience through fast, agile responses to citizen information requests. It provides stakeholders and field workers with decision-making capabilities through in-depth business intelligence on customer behavior. “Through Power BI, we are now able to ensure that all government data is viewed, including our services that are unified and user-centric,” explains Fatima Al Obeidli, Director – Contact Center Business Management Department at ADDA. “This drives our commitment to superior customer service. The Power BI unified dashboard replaces the multiple reports of the past, ensuring one-of-a-kind customer service experience.” Microsoft’s customer-first approach has been proven by its profound understanding of ADDA’s vision. “The aim is to establish a unique service model for Abu Dhabi government. Microsoft is a trusted partner, providing us with tools and mechanisms that empower us to lead the digital future of Abu Dhabi,” explains H.E. Saeed Al Mulla, Director, Government Services at ADDA. Powered by innovation, inspired by society “By leading with a modern, reliable, and integrated digital system that serves all walks of life in society, ADDA supports the business environment, attracts more investments into Abu Dhabi, and enhances the Emirate’s global competitiveness,“ says Ali Nimer, Strategy Advisor to the Director General and Head of Digital Excellence Office at ADDA. Through Power BI, we are now able to ensure that all government data is viewed, including our services that are unified and user-centric. This drives our commitment to superior customer service. The Power BI unified dashboard replaces the multiple reports of the past, ensuring one of a kind customer service experience.                                                                –  Fatima Al Obeidli: Contact Center Business Management Department

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Why organizational change projects fail and how to prevent implementation disaster

New IT installations often fail. At least that’s the widespread belief surrounding organizational change initiatives today. One frequently cited study from the 1993 book Reengineering the Corporation goes as far as saying that as many as 70% of the organizations that undertake a reengineering effort do not achieve the dramatic results they intended. A more recent McKinsey survey of more than 1,500 executives who had undertaken a significant change effort in the past five years found that only 38% of respondents said “the transformation was ‘completely’ or ‘mostly’ successful at improving performance. After two decades of hearing about high failure rates related to change, it’s unsurprising that business leaders are wary of organizational change projects. Organizational psychologist Nick Tasler explained that these negative biases can create a toxic self-fulfilling prophecy. “When a change project falls a day behind schedule, if leaders and employees believe that successful change is an unlikely outcome, they will regard this momentary setback as the dead canary in the coalmine of their change initiative. (Never mind the fact that three other initiatives are still on time or ahead of schedule),” he wrote in an article for Harvard Business Review. “Suddenly, employees disengage en masse and then the change engine begins to sputter in both perception and reality.” Yes, change is hard, and complex IT implementation projects, particularly ERP installations, can be particularly challenging. But it doesn’t mean they are doomed to failure. So where do you start? How can you choose the right technology for your retail business, and ensure that the implementation project runs as smoothly as possible and you get the most from your investment? Here are some of the main causes for failure in any organizational change initiative, and how can you prevent them from happening: Mistake #1: Failure to plan Issue: An outdated legacy system is impacting business performance, and it needs replacing quickly. In their rush to get the project going, business management jump straight into the implementation without taking the time to develop a well thought-out organizational change management plan. Solution: Don’t be tempted to cut corners in your planning. Analyze your business, decide what should be prioritized, and understand all the different ways the project will impact your routines at every stage of the process. “Companies should start by analyzing their current and future requirements and processes,” says Gunnar Ingimundarson, Chief Consulting Officer at LS Retail. “How many software solutions are they currently using, and what are they used for? Map out the disparate solutions in the stack, alongside their dependencies and interconnections. The next step is to figure out where they can draw the biggest – or quickest – benefits. Is your POS system not generating the information you need on stock levels and product visibility? Or, are there integrations that repeatedly cause problems or break down? Do you experience missing data? Identify the area(s) where a new system would bring immediate value in terms of savings or returns. That’s where you should start, and that should determine your priorities.” Once the priorities are set, break the project down into manageable chunks, from pilot phase to initial implementation to company-wide rollout. Consider when it’s most appropriate to start each phase of the installation so you won’t place unnecessary strain on your business during busy times. Mistake #2: Key stakeholders aren’t onboard, or have unrealistic expectations Issue: Management want the new technology in place quickly and only focus on the end goals. They get frustrated by how long the project is taking and threaten to pull the plug. Or they wonder why the new software isn’t being adopted widely and successfully when they failed to communicate the changes to everybody in the business and get company-wide buy in. Solution: All stakeholders need to be committed to the project’s success right from the beginning, and to clearly understand the project’s scope and goals. “Internal resistance can kill even the best implementation project,” says Eric Miller, Regional Director for the Americas at LS Retail, building on his 13 years of experience in software implementations. “Get the buy-in from all stakeholders from the start, and make sure that the goals, objectives and expected end results of the project are clear and communicated from you to the stakeholders, and from the stakeholders to all the customer parties involved. It never pays off to sell a dream you can’t deliver on.” Bring together personnel from different departments to understand their requirements and what outcomes they hope to achieve from the implementation. Similarly, they need to understand how much time should be devoted to a project like this and ensure project teams are given sufficient time to carry out the work. Set realistic timeframes from the start, and ensure everyone knows exactly what’s required of them. Mistake #3: Unforeseen changes throw the project off track Issue: Even the best prepared projects encounter hurdles along the way, but if unforeseen issues arise and major milestones are missed, it can be tempting to throw in the towel and deem the entire project a failure. Solution: Know that when you’re dealing with a large-scale IT implementation, it’s hard to plan for every eventuality. Be willing to adapt and take a different approach if it ultimately means the project will be a success. “What was deemed to be the best approach initially may need to change – this might even happen after the pilot is completed. I have seen companies that went through multiple pilots before finding the right balance. It’s a learning process, and it’s never over,” says Miller. It’s worth learning everything you can from the pilot implementation. Instead of rushing on to roll out store #2, take a moment to see how the system is working and to identify any issues that you couldn’t have planned for in your testing environment. Success comes to those who take a considered approach. Mistake #4: Picking the wrong technology partner Issue: It may be tempting to go for the cheapest technology provider, but cheapest upfront may not necessarily deliver the long-term business value you hoped for. You quickly realize they can’t help you achieve your outcomes, because they lack drive,

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Advancing Azure service quality with artificial intelligence: AIOps

We are going to share our vision on the importance of infusing AI into our cloud platform and DevOps process. Gartner referred to something similar as AIOps (pronounced “AI Ops”) and this has become the common term that we use internally, albeit with a larger scope. Today’s post is just the start, as we intend to provide regular updates to share our adoption stories of using AI technologies to support how we build and operate Azure at scale. Why AIOps? There are two unique characteristics of cloud services: The ever-increasing scale and complexity of the cloud platform and systems The ever-changing needs of customers, partners, and their workloads To build and operate reliable cloud services during this constant state of flux, and to do so as efficiently and effectively as possible, our cloud engineers (including thousands of Azure developers, operations engineers, customer support engineers, and program managers) heavily rely on data to make decisions and take actions. Furthermore, many of these decisions and actions need to be executed automatically as an integral part of our cloud services or our DevOps processes. Streamlining the path from data to decisions to actions involves identifying patterns in the data, reasoning, and making predictions based on historical data, then recommending or even taking actions based on the insights derived from all that underlying data.   Figure 1. Infusing AI into cloud platform and DevOps. The AIOps vision AIOps has started to transform the cloud business by improving service quality and customer experience at scale while boosting engineers’ productivity with intelligent tools, driving continuous cost optimization, and ultimately improving the reliability, performance, and efficiency of the platform itself. When we invest in advancing AIOps and related technologies, we see this ultimately provides value in several ways: Higher service quality and efficiency: Cloud services will have built-in capabilities of self-monitoring, self-adapting, and self-healing, all with minimal human intervention. Platform-level automation powered by such intelligence will improve service quality (including reliability, and availability, and performance), and service efficiency to deliver the best possible customer experience. Higher DevOps productivity: With the automation power of AI and ML, engineers are released from the toil of investigating repeated issues, manually operating and supporting their services, and can instead focus on solving new problems, building new functionality, and work that more directly impacts the customer and partner experience. In practice, AIOps empowers developers and engineers with insights to avoid looking at raw data, thereby improving engineer productivity. Higher customer satisfaction: AIOps solutions play a critical role in enabling customers to use, maintain, and troubleshoot their workloads on top of our cloud services as easily as possible. We endeavor to use AIOps to understand customer needs better, in some cases to identify potential pain points and proactively reach out as needed. Data-driven insights into customer workload behavior could flag when Microsoft or the customer needs to take action to prevent issues or apply workarounds. Ultimately, the goal is to improve satisfaction by quickly identifying, mitigating, and fixing issues. Figure 2. AI for Cloud: AIOps and AI-Serving Platform. AIOps Moving beyond our vision, we wanted to start by briefly summarizing our general methodology for building AIOps solutions. A solution in this space always starts with data—measurements of systems, customers, and processes—as the key of any AIOps solution is distilling insights about system behavior, customer behaviors, and DevOps artifacts and processes. The insights could include identifying a problem that is happening now (detect), why it’s happening (diagnose), what will happen in the future (predict), and how to improve (optimize, adjust, and mitigate). Such insights should always be associated with business metrics—customer satisfaction, system quality, and DevOps productivity—and drive actions in line with prioritization determined by the business impact. The actions will also be fed back into the system and process. This feedback could be fully automated (infused into the system) or with humans in the loop (infused into the DevOps process). This overall methodology guided us to build AIOps solutions in three pillars. Figure 3. AIOps methodologies: Data, insights, and actions. AI for systems Today, we’re introducing several AIOps solutions that are already in use and supporting Azure behind the scenes. The goal is to automate system management to reduce human intervention. As a result, this helps to reduce operational costs, improve system efficiency, and increase customer satisfaction. These solutions have already contributed significantly to the Azure platform availability improvements, especially for Azure IaaS virtual machines (VMs). AIOps solutions contributed in several ways including protecting customers’ workload from host failures through hardware failure prediction and proactive actions like live migration and Project Tardigrade and pre-provisioning VMs to shorten VM creation time. Of course, engineering improvements and ongoing system innovation also play important roles in the continuous improvement of platform reliability. Hardware Failure Prediction is to protect cloud customers from interruptions caused by hardware failures.  Microsoft Research and Azure have built a disk failure prediction solution for Azure Compute, triggering the live migration of customer VMs from predicted-to-fail nodes to healthy nodes. We also expanded the prediction to other types of hardware issues including memory and networking router failures. This enables us to perform predictive maintenance for better availability. Pre-Provisioning Service in Azure brings VM deployment reliability and latency benefits by creating pre-provisioned VMs. Pre-provisioned VMs are pre-created and partially configured VMs ahead of customer requests for VMs. As we described in the IJCAI 2020 publication, As we described in the AAAI-20 keynote mentioned above,  the Pre-Provisioning Service leverages a prediction engine to predict VM configurations and the number of VMs per configuration to pre-create. This prediction engine applies dynamic models that are trained based on historical and current deployment behaviors and predicts future deployments. Pre-Provisioning Service uses this prediction to create and manage VM pools per VM configuration. Pre-Provisioning Service resizes the pool of VMs by destroying or adding VMs as prescribed by the latest predictions. Once a VM matching the customer’s request is identified, the VM is assigned from the pre-created pool to the customer’s subscription. AI for DevOps AI can boost engineering productivity and help in shipping

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Is your business ready to take supply chain management to the next level?

When you lack deep visibility and insight into your supply chain, you leave money on the table It turns out what you don’t know as a manufacturer can and will hurt you. For too long, manufacturers have settled for siloed and inconsistent information, as well as manual processes, to understand and manage their supply chain. Why? Because for a long time, these systems were good enough to keep production going. But plenty of manufacturers don’t want to settle for good enough. IDC predicts that by 2019, 50% of manufacturing supply chains will have benefited from digital transformation, and the remainder will be held back by outdated business models or functional structures. Smart manufacturers understand that supply chain transformation is necessary. They are connecting assets across their factories, gaining visibility into their supply chain, and acting on insights from increased visibility to address inefficiency, as well as increase customer satisfaction and margins. Don’t accept operational inefficiencies as a limit on your business Supply chain management is complex, so doing it right requires a solution that simplifies and consolidates disparate information, while retaining flexibility. Data from the sales process, suppliers, order fulfillment, product performance, and customer service all matter for a full understanding of the supply chain. The core tools for accomplishing this fall into three categories: IoT-enabled visibility and services, powerful analytics, and cloud-delivered data visualizations. Like many aspects of manufacturing, IoT is the starting point. The best way to lower production costs is by using a single IoT-friendly platform to integrate back and front office processes. Using IoT-based modeling to create digital twins, manufacturers can understand in real-time the amount of wear and tear on parts and adjust designs in response. This insight can help identify simple inefficiencies like sourcing a part from the company that’s always supplied it, rather than buying a similarly-performing part at a lower cost from another supplier. Powerful analytics is the next step in transforming your supply chain. A truly intelligent system for supply chain management dynamically adjusts distribution, as well as production, to accelerate the speed of delivery. By using built-in analytics and machine learning, public data like weather conditions can be used to create richer, more accurate schedules and delivery forecasts. On top of that, opportunities to consolidate or expedite shipments can be automatically identified using artificial intelligence—passing lower shipping and order fulfillment costs on to customers. Finally, consolidating all this information won’t completely optimize your supply chain without the ability to easily visualize and manage it. That’s why a real-time and mobile-delivered view is so crucial. Understanding how to solve problems is hard enough; there’s no need to complicate it further by using different systems to identify where problems are occurring. Decision makers on the factory floor or in global headquarters need instant access to relevant information, and the collaborative power to communicate with or work alongside employees anywhere in the world. These investments in operations put manufacturers in position to embrace new technology and adjust to whatever business challenges they may be facing. Get the tools to transform with Microsoft Dynamics 365 The power of a supply chain management and operations platform that combines all these capabilities at cloud speed and scale is obvious. Companies positioned to digitally transform their supply chains will see accelerated time to market and reduced cost to enter new markets or scale new lines of business. Microsoft supports flexibility in deployment, enabling you to leverage existing investments while expanding with either a cloud or a hybrid model that includes both on-prem and cloud systems. That can shorten deployment from months to days and ensure security and analytics capabilities are consistent across every location and tuned appropriately for every team. Microsoft Dynamics 365 ends the artificial separation of ERP and CRM and makes it easy for employees to collaborate and even role-switch to engage customers or address supply chain issues. Only Dynamics 365 unites the front office and the back office with a single end-to-end system for managing every aspect of your business, all backed by industry-leading enterprise cloud. That means manufacturers can develop at the pace and scale that’s right for them, while taking advantage of current investments such as existing productivity and technology stacks. With Microsoft, consistent development practices and R&D investments combine to offer manufacturers rich analytics, embedded intelligence, partner-created applications, and the ability to collaborate worldwide.

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How AI and AR can help retailers stay in business in moments of crisis

Store closures and social distancing have caused a rise in demand for virtual tools and technologies that bring the shopping experience into consumers’ homes. Beauty brands, which were among the first to try out AI and AR to enhance the consumer experience, are increasingly using the technology to suggest products based on people’s preferences and unique characteristics, including skin tone and face shape, as well as to help customers virtually try on products before committing to a purchase. Even before the Covid-19 crisis, the technology had already proved its worth. Figures from Perfect Corp, which develops virtual makeup technology, show that virtual try-on technology generated 2.5 times higher e-commerce conversions for brands and decreased return rates by more than 8%. Trident is offering Cloud Based Retail ERP Software to manager retail operations effectively As the technology develops and becomes more sophisticated, consumers are progressively trusting in AI to help them make purchase decisions. “Consumers trust AI to curate a choice of products, services and experiences that reduce complexity and make life more fulfilling,” writes Andrew Cosgrove, Global Consumer Knowledge Leader & Lead Analyst at EY. “AI knows its “owner” so well that it suggests new and unexpected product ideas or experiences they love.” Digital suddenly finds itself one of the main commerce channels for retailers. We expect AI and AR are here to stay, as more consumers become aware of their virtues when it comes to convenience, and as these technologies can help retailers to continue trading regardless of what happens in the real world. Here are four ways to make AI and AR work for your business: 1. Bring the in-store shopping experience to your customers’ homes AI and AR take online shopping to a whole new level by making it possible for consumers to choose from selected products picked out just for them, try out new experiences and test products in ways they wouldn’t have been able to previously – all from the comfort of their homes. Early pioneers of AI- and AR-powered online shopping include opticians, who realized that consumers still want the option to try on glasses and see what styles suit them before committing to a purchase. Virtual fitting technology has made this possible, with some retailers further elevating the experience using AI to automatically suggest the perfect frame to suit your face. Indeed, AI lends itself to verticals where consumers may find themselves bogged down in complex choices. Instead of having to scroll through hundreds and hundreds of beauty products, for example, new services such as My Beauty Matches use AI-powered algorithms, and using the consumer’s previous searches, purchases, and known preferences, they suggest items from large databases (in this case, there are over 400,000 products) that couldn’t be easily browsed by the consumer. Advances in machine learning help brands to identify consumer styles and preferences to gain a granular level of customer understanding, so they can optimize each customer’s individual journey. “In one of the worlds we modeled, consumers valued time much more than money,” Andrew Cosgrove, Global Consumer Knowledge Leader & Lead Analyst at EY, said. “Their personalized AI learned about their unique preferences and used those insights to buy most of the things they needed. This allowed them to spend their time shopping only with brands that reflected their values and purpose.” 2. Find the right items across infinite aisles of products The most successful AI and AR experiences today tend to be delivered by retailers that have large item assortments and the ability for consumers to personalize their choices. Home goods and furniture retailers are a clear use case, with many using the technology to help customers choose products that will fit beautifully into their homes and match their existing décor. Online furniture retailer Wayfair is known for using AI to target customers with personalized recommendations. The company’s search algorithm extracts the customer’s style preferences from their search history to present a selection of furniture that is likely to appeal. Another service allows customers to take a photo of a furniture piece they like and match it to a similar item in the Wayfair inventory, which holds millions of products. AR then takes this a step further by giving consumers the ability to virtually see how products will look in situ before committing to a purchase. Returns on investment have been demonstrated with increased conversion and reduced returns. AI is proving its worth in fashion too, helping customers choose clothing that will fit them best by analyzing previous purchases and suggesting sizing based on their profile. Iconic jeans brand Levi’s uses an AI-based chatbot to help customers find the perfect pair of jeans. It asks consumers their preferences when it comes to fit, rise, amount of stretch and wash, and asks what size they are in another brand to determine the best size in Levi’s and suggest the right pair. And in beauty, brands are using the technology to offer services such as instant foundation shade matching and advanced skincare analysis, as well as matching consumers with products and looks that will suit their complexion, style and occasion. 3. Anticipate consumer demands One of the major benefits that retailers can draw from AI and AR experiences is the amount of data they can collect about their consumers along the way. This data, if collected appropriately, can be used to improve the accuracy of stock and inventory requirements forecasts throughout the year. “As consumers browse, test features and make purchases, they are providing retailers with an entirely new set of data points,” writes Hamaad Chippa on Retail TouchPoints. Retailers can then use this information to rethink product assortments for a better shopping experience, or to develop highly targeted marketing campaigns that lead to greater conversion rates. For example, a customer who just bought a whole load of supplies from a pet store for their new kitten is likely to want to sign up for home deliveries of cat food. AI can also help retailers target consumers with promotions that are more likely to lead to purchases based on past browsing and purchase history.  “Whether that is 10% off online, 15% in-store or free shipping, customers automatically receive the

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How Manufacturing Industry Transformed using Microsoft Dynamics 365

The future of manufacturing will be defined by the quality of investments companies are making today In the not too distant past, efforts in manufacturing to optimize productivity and increase customer satisfaction were viewed as separate endeavors. Today, the convergence of physical and digital trends is disrupting these kinds of assumptions. Manufacturers today care about integrated digital and physical systems, improved visibility, increased efficiency, additional flexibility, and lower costs. They want to connect equipment and factories, leveraging data from the factory floor to the customer call center to improve every aspect of their operations. But this is just the beginning. Digitization is fundamentally changing the way manufacturers do business, enabling a customer-centric approach while optimizing operations. Digitally empowered manufacturers engage customers throughout the product lifecycle from design to field service. They sell value-add services to complement the product sales, opening new revenue streams and strengthening their customer relationships. And they are revolutionizing delivery of these differentiated services, using technology like augmented reality to combine the eyes of a technician in the field with the insights of an expert back at headquarters. Capitalizing on these trends isn’t limited to large, well-resourced manufacturers. Across all kinds of manufacturing operations, the opportunity to digitize and transform your business has never been more accessible. Imagine your business transformed The Microsoft vision for supporting digital manufacturing embraces the seismic shifts in the industry today. We’ve created solutions that provide a unified and flexible approach across front office and production floor processes. Our approach enables transformation in six ways: Optimize supply chain operations through better visibility and collaboration By collecting, integrating, and visualizing global supply chain data worldwide, manufacturers gain better visibility into their operations from production to sales. For example, one of the world’s largest industrial automation firms found that by automating the collection and analysis of data from remote installations across the petroleum supply chain, they strengthened their competitive advantage with a faster time to market. Improved access to supply chain data is also the basis for better collaboration across production, supply, service, and sales.  Streamline the management of assets, products, and production With a consolidated view that unifies process oversight and provides real-time insight, manufacturers can institutionalize efficiency gains and use connected devices to monitor and resolve issues remotely. One leading manufacturer of industrial robots enabled 24-hour continuous uptime using this approach. The additional insights into production and customer usage also allow manufacturers to provide value-added services like ongoing monitoring and proactive support. Engage customers in powerful new ways To deliver personalized and contextual engagement across any channel, manufacturers must provide customers with more visibility and build trust through fast and convenient responses. This engagement approach is built on a combination of predictive analytics, the ability  to deliver value-added services at scale, and guided or self-directed service that’s relevant to customer needs. With the implementation of a connected platform for sales through service, a leading home technology manufacturer not only solved potential problems remotely before customers ever felt the impact, but provided custom differentiated offerings based on unique customer usage and purchasing history.  Transform service centers into profit centers Thanks to the ever-decreasing cost of IoT sensors, sophisticated mobile devices, and cloud-based data aggregation, manufacturers can improve service quality and margins by offering remote monitoring and proactive maintenance services that supplement break/fix support. By more intelligently coordinating technicians equipped with mobile and virtual reality tools, companies can leverage existing expertise and minimize costly engagements. A leading tire service and manufacturing company found that by combining customer records, technician availability, and back-end inventory in a single mobile-friendly system, it could provide a seamless user experience as well as improve its service delivery. understand their business more deeply, from customer usage through supply chain sourcing and production. With IoT-enabled parts, assets, and products, manufacturers can gain the insights needed to innovate. Data from connected products and equipment can empower developers, engineers, and technicians to collaborate. For example, teams can identify overengineered or faulty components and track product usage in the field to improve future designs. When a leading information and communication technology company implemented remote monitoring, they decreased time to production as well as accelerated the cycle of innovation using a data-driven approach. Empower employees to work more effectively When a company can provide 360-degree views of customer assets and work order history, technicians are empowered by a better understanding of not only the job in front of them, but of other similar and successful field service engagements. This goes hand in hand with empowering service agents to provide instant feedback, using machine learning to find and follow similar cases for successful troubleshooting, and scheduling a visit or evaluation. A leading auto manufacturer wanted to save money by unifying their siloed customer service and customer engagement while providing employees with better tools to understand customer sentiment. To accomplish this, it implemented a system to connect production and project management with their customer relationship management systems in order to deliver personalized service and recommendations to their customers.  Introducing Microsoft Dynamics 365 For manufacturers, Microsoft Dynamics 365 ends the artificial divide between CRM and ERP systems and supplements necessary capabilities with rich analytics, embedded intelligence, and the convenience people expect from consumer apps on their phone or tablet. Dynamics 365 unites the front office and the back office with a single end-to-end system for managing every aspect of your business, at the pace and scale that’s right for you. Digital transformation isn’t accomplished overnight and leveraging current investments is a key component of any successful approach. With Microsoft, you can optimize across all your processes while laying the foundation for connecting advanced technology in the future. Blog reference: https://cloudblogs.microsoft.com/dynamics365/bdm/2017/05/30/manufacturing-transformed-microsoft-dynamics-365

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Whitepaper: The business owner’s guide for replacing accounting software

Replacing your accounting software is easier and more affordable than you may think. Use this guide to learn about the benefits of a modern technology platform, better understand the advantages of a cloud-based solution, and know what questions to ask when evaluating your options.

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