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Microsoft® Retail August 2005

Retail AnalyticsWhite Paper

Foreword — The Science of Retailing 4

Market Overview 6

Business Intelligence in Action 8

The Right Tools 12

Microsoft Partner Ecosystem 14

More Information Back Cover

Contents

3R E TA I L A N A L Y T I C S

R E TA I L A N A L Y T I C S4

Foreword

The Science of Retailing

The eighties and the nineties in retail systems were about improved transaction processing. Retailers replaced many of their merchandise management systems, deployed electronic data interchange (EDI) and introduced a plethora of in-store applications to better support the transaction processing aspects of the business. In the second half of the nineties, there was a great deal of focus on Y2K and replacing operational systems so that companies were not at risk. As a result, transaction processing systems are now widely deployed and many companies are on their second and, in some cases, third-generation systems.

In the latter part of the nineties, business intelligence or decision support systems started to come into their own. As the technology has improved, progressively more science has been added to the subjective aspect of retailing. Leading retailers now combine their buying flair with rigorous analysis to achieve market leading results.

The biggest areas to benefit from rigorous analysis are:

• Merchandising decisions

• Store operations

• Identification and adoption of marketing strategies and campaigns

• Supply chain management

The buying and merchandising function is one of the most important in any retail business. Many complex decisions have to be made, such as:

• How wide should the ranges be?

• What ratios should we buy each colour in?

• What ratios should we buy each size in?

• How should we allocate initial stock injections to stores to maximise sales?

• How accurately can we forecast store/stock keeping unit (SKU) level sales to drive replenishment?

• When should we markdown slow-moving items and how deep should the markdown be?

Business intelligence systems make a major contribution to improved decision making. For example, many retailers analyse historic sales by size and use last season’s size ratios as a guide to this year’s. But most stockouts occur in the best-selling sizes and this approach will perpetuate under buying those sizes for the next season. Analysing past sales for the period of time that stock coverage was good (rather than the whole season) will give a more accurate planning assumption.

In a similar way, analysing the sales rate of an SKU may show that it is not selling at the planned rate and that action needs to be taken. Drilling down by store often shows that some stores are doing well with specific sizes or colours, some are doing OK, and some doing badly. A retailer might then decide to do nothing in the stores where the product is selling well and apply a 30 per cent markdown in the stores where it is doing less well. In the stores where it is moving far too slowly for the markdown to make any real difference, retailers might transfer the stock to stores where it sells well. In this way, they can greatly reduce markdown as a per cent to sales and improve overall profitability from the merchandise.

Store operations is also an area of major importance. Most store managers know how their own store is performing, but lack knowledge of how other stores are doing on a comparable basis. As an example, a store might finish the week up five per cent on the same week last year, and the store manager might feel pleased with that result. However, if they can see that the company was up nine per cent for the same period, they really did four per cent worse than the company average. At this point, the ability to drill down and make comparisons against other similar stores helps the store manager to see how performance can be sharpened. Within store operations, retailers can benefit from business intelligence-based analysis in a number of ways:

• Increasing sales by exploiting product affinities and adjacencies.

• Identifying opportunities to improve space productivity — allocating the right space to each product category.

• Maximising labour productivity — having the most registers open when the most customers are in the store.

• Improving inventory availability in cases where stores can do some re-ordering or influence their own store ranges.

Business intelligence can provide the marketing department with valuable insights into its customer base. These can assist in identifying new areas of opportunity and more effective ways to communicate marketing messages. As an example, in a supermarket, basket analysis gives an indication of the proportion of customers that own pets and might be interested in a wider range of pet products. If a customer relationship management (CRM) solution is deployed, analytics can give deeper insights into specific types of customer and their buying preferences.

A critical dimension of supply chain management is the ability to forecast and react to demand. Demand and sales are the same thing until stockouts occur. Then retailers know the sales, but not the demand. Business intelligence systems can help estimate true demand by assessing lost sales when stores were out of stock. The historically-adjusted estimate of demand (sales plus estimated lost sales) then provides a much better basis for forecasting future demand. This, in turn, allows the incidence of stockouts to be reduced.

As this discussion shows, business intelligence systems have a huge role to play in running a more successful, more profitable retail business. Intelligent use of these systems creates a powerful gap between the market leaders and the followers. The remainder of this document examines some of the uses of business intelligence in more detail and shows how Microsoft and its partners are helping retailers take advantage of their business intelligence opportunities. I am confident that you can profit significantly from investigating this whole area further.

Brian Hume Managing Director Martec International Ltd.



Market Overview

The retailing environment is a dynamic one. Companies need to be flexible and reactive so they can quickly respond to increasingly sophisticated customer demands. With the development of the Internet and the growth of multi-channel operations, businesses must be able to change their business models so they can collect real-time business information and drive the efficiency of their day-to-day operations.

Retailers must also find a way to understand the range of customer segments in the marketplace. A one-size-fits-all approach can no longer meet the needs of a diverse customer base. Increasingly, retailers are beginning to see the value in tailoring product assortment and marketing to different stores so that customers always have access to the products they want, where and when they want them.

Key to ensuring that customers always receive the highest possible service is the elimination of traditional issues such as stockouts. In today’s competitive market-place, technology is playing a vital role in driving efficiency and improving store responsiveness. Not only can retailers collaborate more closely with suppliers through sharing business information, they can also predict demand and respond to real-time trading fluctuations to improve their stock levels.

The Rise of Business IntelligenceWith growing industry focus on the need for an effective method of collecting high-quality business intelligence, reporting and analysis tools are becoming a must in the retail space. By keeping close track of their day-to-day operations, retailers can boost store pro-ductivity by gaining a clear view of transactions, remaining stock, best-selling products, and even staff performance.

In the past, retailers relied on historical analysis to inform future decision making, and some data collection processes often left a lot to be desired. Sales reports were only made every month and may not have covered each and every department. In addition, new collections or product lines typically arrived on a three-monthly basis and customers were happy to wait for goods to be delivered.

However, with the advent of more advanced technology and higher customer expectation, retailers are able to respond to customer demand in near-real time. Under-standing customer buying patterns is key to delivering an enhanced retailing experience. Retailers are beginning to realise that to optimise performance and revenue, they must understand where their customers are coming from.

Business Intelligence Makes Business SenseRetailers can use business intelligence to improve the quality of service in a number of key areas. By providing an accurate portrayal of customers, business intelligence can help retailers to make business decisions quickly and with confidence. As a result, they can enjoy in-creased revenue, lower operating costs, and improved customer relationships.

Accurate business intelligence also helps businesses respond faster to new opportunities and changing demands. Combining intelligent prediction mechanisms with rapid execution helps organisations move from concept to implementation as quickly as possible.

With access to an accurate snapshot of the profitability of specific customer relationships, retailers can focus on their most lucrative customers. And by integrating systems that span the enterprise—e-commerce, CRM, and point of sale (POS) — businesses can create a complete profile of a customer and offer insight into their buying patterns, sensitivity points, and preferred methods of contact and communication.

Businesses must focus on optimising their relationships with existing customers if they want to stay ahead of the competition. Understanding who their loyal customers are is important, while developing an individual, one-to-one marketing message for the customer demonstrates a level of personalisation that provides competitive advantage. Business intelligence tools that combine customer insight with rapid marketing deployment, build trust, inspire loyalty, and prove to the customer that they are truly valued by the organisation.

By bringing powerful analysis and reporting tools to the desktop, decision makers can conduct their own queries and prepare reports with minimal support from database administrators and IT specialists so it takes less time to collect business-critical information.

Improving Processes Across the StoreWith targeted business intelligence, retailers can perform detailed analysis in a range of areas including operations, customer management, events, trends, supply chain, and supplier relationships.

Operations analysis — By frequently identifying purchased combinations of products, retailers can help improve store layout and assortment planning. Basket analysis can drive promotional campaigns and help measure the effectiveness of marketing initiatives. In addition, better analysis of in-store operations can improve staff planning to maximise efficiency and cut staffing costs.

Customer management analysis — Business intelligence can help retailers improve customer targeting, revenue management, customer knowledge management, and multi-channel integration. By analysing transactional data during the day, retailers can identify differences in customer profiles, while real-time tools help stores adapt prices to match demand patterns and improve profitability. Critically, by understanding how personal priorities affect shopping habits, retailers can also anticipate customer needs to provide more appropriate services and products.

Event analysis — Customer theft and internal fraud need to be identified quickly. Retail analytics can help control shrinkage by pinpointing exceptional events quickly and help retailers sort any problems out rapidly. Business intelligence can also help with promotions management by determining whether or not to rush in extra stocks or mark down prices to cope with changes in consumer demand.

Trend analysis — With accurate analysis of stock-outs, retailers can tailor demand forecasting to improve their in-stock levels. At the same time, by assessing the impact on customer demand patterns of removing slow-moving product lines, retailers can gain insights to optimise shopper satisfaction and stock turn.

Supply chain analysis — Real-time traceability is essential for retailers who want to respond quickly to changing demand. Business intelligence can help retailers attain a clearer view of their supply chain and even re-route global consignments to accelerate deliveries as necessary.

Category and event analysis — Using business intelli-gence tools in event monitoring, category management, and new product introductions is vital. Retailers need to be able to share information between the POS and suppliers so that forecasts can be shared and performance accurately mapped to maximise sales opportunities. In addition, new product performance and the impact of promotions need to be quickly analysed so that stores can maintain a competitive edge.

Supplier relationship analysis — Successful replenish-ment often depends on the efficiency of third-party logistics providers. Sharing accurate performance data with suppliers can help avert queries over service level agreements and provide a common basis for mutual improvement.

Collaborative analysis — Real-time analysis of customer demand improves order management and can help streamline production and cut lead times. With the seamless exchange of information between the store and the supplier, everyone in the supply chain has access to the same product data, at the same time, to reduce errors and duplicated effort. A common frame-work for discussion can be established.

With the business intelligence market set to grow by a compound annual growth rate (CAGR) of 4.1 per cent to US$4.5 billion (£2.5 billion) in 20071, the tools that serve each area of the retail environment are likely to become more sophisticated as retailers become increasingly dependent on the data they can collect.

To keep pace with their competitors, retailers must ensure that their technology infrastructure can support initiatives to understand customers and consequently increase sales.


1 IDC, Worldwide Business Intelligence Forecast and Analysis,

2003 — 2007 Study #29591, Dan Vesset (June 2003)


Business Intelligence in Action

Profit ProtectionCheckout fraud is a major issue that costs U.K. retailers billions each year. Key to detecting fraud incidents is the timely delivery of information from the store POS system to those who need it. While there are a range of technologies that can detect checkout scams, in many instances the information required for detection is lost through poor procedures. Retailers typically transfer a summary copy of POS data to the corporate data centre after store closure, but this summary usually discards most of the contextual data that is useful for fraud detection. Further, it takes significant manual resource to search this data, and today’s retailers rarely have the time or the tools.

Built in partnership with the U.K.’s top retailer Tesco, the Sysrepublic Fraud Detection Framework provides a comprehensive toolset that redefines how swindlers can be tracked and stopped. The framework delivers highly-filtered information on fraud data to the people who need it as it is required. Endless pages of data are converted into a real-time task list that is priority-driven to deliver maximum business benefit. A unique feedback feature also helps retailers to uncover and watch for new forms of fraudulent activity based on a set of rules and checks.

“ Sysrepublic’s Fraud Detection Framework

is unique because it allows me to manage

the process from start to finish. We now

have much improved visibility of fraud at the

group, regional, and store level, helping us to

focus resources where they are most needed.

My security managers can log in and see their

daily prioritised work list and immediately

start investigating problems they would have

otherwise been unaware of. As new types of

fraud become apparent, we can build them

into the framework quickly and easily.”

Mike Cornish, Development Manager for Security, Tesco Group.

TescoGrocery Retailer

Tesco needed a system that would help it to manage the entire fraud prevention process from investigating cases, through to conviction and recovery of losses. The grocery chain engaged Microsoft partner and integration specialist Sysrepublic to build a bespoke system. The resulting Web-based approach uses a rule engine to automatically detect fraudulent activity. It also includes a feedback facility to keep the system well tuned to detect new types of scams. The resulting solution has not only been implemented in Tesco, but now forms the basis for a product that is available for other retailers.

Benefits

• Staff can investigate cases as they occur.

• Fraud can be auto-detected.

• Security Managers can focus on loss recovery.

9R E TA I L A N A L Y T I C S 9

Assortment Planning Every retailer aims to strike the right balance between product range and quantity. In short, retailers must ensure enough selection without overstocking, taking seasonality into account, to provide the right merchandise flow. Because assortment planning solutions address the most detailed element of merchandising, retailers can easily manage stock levels while addressing customer preference and need.

Compass solutions have been developed in con-junction with leading European and U.S. retailers to go beyond simple spreadsheets for automating the assortment planning process. Compass Merchandise Planning provides a blend of ‘top-down’ and ‘bottom-up’ merchandise planning functionality with an intuitive user interface that gives each individual in the organisation the power to follow a process workflow relevant to their role. By addressing the activities of store planning, visual merchandising and reporting and analysis, the solution can handle the detail required for an effective assortment planning process.

Compass smartVMTM uniquely combines digital images with numerical and financial plans to make it possible for retailers to visualise the ranges they are planning to send to stores. The tool can be used to model stores electronically, helping retailers to create a number of layout options, and assess the financial impact of each store layout.

“With Compass, it is easier to cut the data

in different ways. If we want to look at the

colour spread in the range of a particular

department, view the price pointing or the

balance of the product offering, we can.

The reaction times of looking for and using

the right information have been greatly

reduced.”

Frank Christiansen, Systems Controller, Ethel Austin.

Ethel AustinFashion Retail ChainTo keep pace with the increasing competition from discount retailers, Ethel Austin needed to change its approach to trading. The value fashion retail chain relied on spreadsheets to plan its merchandise. But gathering, storing, and analysing the supporting data was increasingly time consuming and prone to errors. Further, the spreadsheets were not structured or flexible enough to let the retailer flow figures top to bottom or bottom to top. Ethel Austin replaced the spreadsheets with Compass Software’s comprehensive planning application.

Benefits

• Cut the data for accurate merchandise planning.

• React faster to market trends, and change orders to meet demand.

• Produce consistent reports.

• Provide best-practice processes not only to the merchandise team, but also to the buying, financial, and logistical teams.


Business Intelligence in Action continued

Sales Analysis and Line ManagementThe economics of retailing has fundamentally changed with advancements in business analytics systems. Today, the success of a retailer hinges on knowing the customers and engaging them with timely promotions, product suggestions, and personalised service. Analytics software can spot financial trends, recognise performance patterns, and give top management a succinct view of what is happening in the real-world of in-store retailing. Faced with information from every facet of the organisation, from warehouse to shelf, retailers can find it hard to sort data, respond quickly to market conditions, and remain one step ahead of the competition.

A ProClarity solution that slices and dices data and keeps pace with the speed of the business can help retailers wade through information overload for better decision making. By using the analytic capabilities of Microsoft® SQL ServerTM Analysis Services and Reporting Services, ProClarity lets individual users view information in multidimen-sional graphical formats. ProClarity delivers unique visualisation tools that permit the easy creation of sophisticated graphical analyses drawn from multiple, live data sources. Decision makers can interpret and capitalise on trends in the four key business areas for retail: consumer analysis, category and product analysis, supply chain analysis, and corporate performance.

Scottish & NewcastlePub CompanyScottish & Newcastle Retail wanted to widen its col-lection of data about sales of particular brandsand create daily reports for managers to cover all of its 1,400 sites. Due to the challenges of trying to scale their existing data warehouse, the pub company could only collect POS data from 30 of its pubs and restaurants.

By rebuilding the data warehouse using Microsoft SQL Server Analysis Services, the pub company solved the scalability problem to accommodate the extra volumes of data. Scottish & Newcastle also chose ProClarity to supply the front-end tool for the users, because it offered the most sophisticated functionality, and was specifically developed for a Microsoft-based infrastructure. Recently, the pub-lican’s marketing department managed to reduce three weeks’ work to less than half an hour, after using ProClarity for a wine promotion.

Benefits

• Increased volumes of data collection.

• Reports are produced quicker.

• Reports are more granular on specific products and brands.

“The combination of Analysis Services

and ProClarity means there are no data

integration hurdles and gives us so much

more power and flexibility. We have not only

solved the scalability problem, we can also

produce reports much more quickly than we

were able to previously. I can very quickly

see that 6.3 million pints of Fosters are sold

per year, and I can drill down to see how this

is split between the different parts of the

business.”

Jeremy Blood, Strategy Director, Scottish & Newcastle Retail


Category ManagementUnderstanding what customers are purchasing in and across stores is crucial to taking advantage of retail opportunities. But getting the right mix and number of products in the category involves complex decision making. Consumers want an optimum product range, appealing promotions, and compelling prices. Retailers that do not have the resources to effectively manage all of their buying categories on an ongoing basis will find managing expenditures difficult, let alone taking advantage of additional savings opportunities.

With smarter category management strategies, retailers can quickly respond to market pressures and boost profits. Providing the most powerful, real-time category management solutions available on the market today, JDA solutions help to eliminate the guesswork in determining merchandise performance. In particular, their category management products deal with customer profiling, optimising product assortment, reviewing category perform-ance, and demand planning, so retailers can execute ‘financial-to-floor’ retail strategies.

“Product performance was not adequately

reflected in our shelf and floor planning.

JDA’s category management solution has

given us the ability to review performance

and optimise our varied product ranges.

JDA’s space-planning applications enabled us

to allocate appropriate space to better selling

lines and position them in prime locations

within our stores. It also provides our retail

staff with far more accurate and better

presented planograms, enabling them

to improve merchandising standards

throughout the store.”

Mark Hobson, Head of Merchandising, GlynWebb.

GlynWebbDIY Home Improvement Store Before rolling out solutions from JDA, Britain’s largest independent home improvement store, GlynWebb, often found that it sold out of its leading lines on a daily basis while slower selling lines were left occupying valuable shelf space. So the retailer decided to shelve its traditional approach to cate-gory management in favour of JDA Portfolio® Space Management and Category Management solutions. GlynWebb is now more effectively and consistently reviewing its product range of approximately 8,000 products across 26 stores. The major issue of over-stocking poorly selling products on the shelves is quickly being addressed.

Benefits

• Accurate plotting of products means that stock has been reduced by up to 20 per cent in some categories.

• Ability to identify the most popular products and give them the correct amount of shelf space.

• Maximised sales and revenue at the shelf edge.

• Improved overall shopping experience for the customer.

R E TA I L A N A L Y T I C S

Faced with the chance to access a much higher level of information, retailers are unsurprisingly keen to advance their competitive edge and jump on the business intelligence bandwagon. However, finding the right analysis solution can prove difficult.

When retailers make a technology investment, they need to be confident that it can integrate easily with any existing infrastructure, deliver immediate incremental value when tested and deployed, and that it can scale to accommodate future requirements.

By developing their solutions on the Microsoft®.NET Framework and XML Web services, and implementing products such as Microsoft BizTalk® Server, Microsoft SharePointTM Portal Server and Microsoft SQL ServerTM, retailers can easily integrate real-time business intelligence tools into their existing systems.

Using BizTalk Server (an integration hub), companies can connect business systems and processes, while SharePoint Portal Server promotes quick and easy company-wide collaboration allowing individuals to exchange, compare and discuss documents and processes quickly and easily — even if their offices are physically remote. Microsoft Office tools such as the Microsoft Office Business Scorecard, Microsoft Excel, and the Microsoft Office Excel Add-In for Microsoft SQL Server Analysis Services, all help companies extend their business intelligence solutions from the server to the desktop with familiar and easy-to-use tools.

SQL Server 2000 performs the function of a relational database and includes a powerful built-in set of busi-ness intelligence tools. These include build and manage functionality, Online Analytical Processing (OLAP), data mining and reporting out of the box, with Microsoft SQL Server 2000 Analysis Services and Microsoft SQL Server 2000 Reporting Services.

Why Microsoft Technology?Microsoft SQL Server is hugely attractive to retailers because it comes with an out-of-the-box relational database as well as an OLAP database and data mining technology. With the Microsoft suite of interoperable products, companies can optimise their processes by quickly converting raw data into usable insights with-out the need for additional tools or applications. In addition, the Microsoft business intelligence platform can build on any incumbent investment in heterogeneous legacy tools and environments.

Retailers do, however, have the option to deploy a business intelligence solution that is solely based on Microsoft technology so they can achieve a superior total cost of ownership and better value for money. If they find their requirements are more complex, Microsoft independent software vendor (ISV) partners can provide best-in-class applications that extend the value of the Microsoft data environment.

The Microsoft platform for business intelligence provides the building blocks for end-to-end business solutions that help retailers draw valuable insights from their business and operational data, and then turn these insights into well-informed, effective business decisions. Microsoft takes a server approach to business intelligence, whereas other vendors offer portfolios of business tools. SQL Server 2000 is the foundation for all the components in the Microsoft business intelligence suite of products.

12

The Right Tools

Microsoft has now overtaken Hyperion Solutions to become the largest OLAP vendor (28 per cent market share in 20042) and that lead is destined to increase in 2005. SQL Server 2000 integrates seamlessly with Microsoft Office solutions, for example Excel Add-in for SQL Server Analysis Services, and Business Scorecard.

Microsoft offers retailers a large menu of interoperable business intelligence offerings integrating any data sources, together with a low total cost of ownership (TCO). Once retailers use SQL Server 2000, they acquire many core business intelligence components, which they can adopt as the business evolves. They can also gain added value from their existing investment in Microsoft Office and the Microsoft Windows® oper-ating system. Finally, SQL Server 2000 can be rapidly deployed and delivers immediate business benefits.

With SQL Server 2000, Microsoft helps customers to maximise their return on investment in IT and business intelligence by providing:

• Strong analysis and reporting tools.

• Iterative approach—short-term value.

• Platform for future business intelligence solutions.

• Rapid user understanding and uptake.

• Familiar Office applications for complex reports.

Traditional business intelligence tools have targeted analysts and senior management in the organisation. The Microsoft business intelligence approach helps companies empower their employees in the retail business, including executives, middle managers, and POS staff. By combining the enterprise data management functions of SQL Server 2000, the power of the Microsoft Windows Server System, and the familiarity of the Microsoft Office System, retailers of all size can benefit from enterprise-class reporting and analysis solutions.


2 Source: The OLAP report, www.olapreport.com.

Compass Software www.compass-software.co.uk

Compass Software (part of Torex Retail) is one of the U.K.’s leading providers of planning, design and business intelligence solutions to retailers, suppliers and brands, which enable businesses to maximise their profitability and optimise supply chain performance, and competitive advantage.

Geac www.geac.com

Geac is a global enterprise software company for Business Performance Management, providing customers worldwide with the core financial and operational solutions and services to improve their business performance in real time.

JDA Software www.jda.com

JDA Software is a global leader in delivering integrated software and professional services for the retail demand chain. JDA Portfolio is the industry’s leading suite of best-in-class products that manage and optimise demand chain processes from finished goods to customer checkout.

KSS www.kssg.com

KSS is the leading provider of price optimisation tools for the Retail and Petroleum industries. KSS specialise in advising and supporting company’s processes to set prices which enhance price image and loyalty, improve planning and process execution, and most crucially — generating immediate margin and profitability improvements.

OutlookSoft Corporation www.outlooksoft.com

OutlookSoft Corporation is the leading provider of unified, real-time corporate performance management solutions (CPM) powered by the Microsoft business intelligence platform. The company’s web-based solution, OutlookSoft Corporate Performance Management, provides a single CPM application for strategic planning, budgeting, forecasting, statutory consolidation, reporting, analysis, predictive analytics, scorecarding, and dashboards.

Microsoft Partner Ecosystem


Panorama Software www.panorama.com

Panorama Software Systems is a premier developer of business intelligence products and solutions. Panorama NovaView e-BI product line provides the ultimate web-based business intelligence solution for enterprises and exposes the full functionality of Microsoft SQL Server 2000 Analysis Services.

ProClarity Corporation www.proclarity.com

ProClarity’s industry-leading application development platform helps customers build sophisticated custom analytic solutions that enable decision makers to make more insightful choices faster. These solutions, based on business processes, decision-making workflows and existing database and software technologies, feature patented visualisations, web-like navigation and powerful calculations to transform information into understanding.

Sysrepublic Ltd. www.sysrepublic.com

Sysrepublic specialise in the provision of software products and consultancy services for the retail and hospitality sectors. Sysrepublic works with major retailers worldwide to deliver leading integration and data exploitation solutions. Implemented using Microsoft .NET technologies, Real Time Integrator provides retailers with a comprehensive, packaged infrastructure on which to execute the vision of real-time retail.

Torex Retail www.torexretail.com

Torex Retail boasts an unparalleled track record of more than 20 years, servicing some of the biggest names in retailing in both the UK and Europe. Our solution set spans all facets of the retail systems business, from leading-edge, electronic point-of-sale software, to merchandise management solutions, sophisticated performance and productivity systems, and loss prevention and basket analysis solutions.

Wipro Technologies www.wipro.com

Wipro Technologies is the world’s first PCMM and SEI CMMi Level 5 certified IT Services company. Wipro’s customers include 6 out of Store magazine’s top 10 retailers. The focus areas in retail are price optimisation, promotions management, DDSN, RFID, GDS, e-tailing, multi-channel integration, collaboration solutions, pharmacy and analytics.


To find out about Microsoft’s Retail Analytics proposition, please visit www.microsoft.com/smartretailor email [email protected]

More Information

© 2005 Microsoft Corporation. All rights reserved. Microsoft, the Microsoft logo, Windows, BizTalk Server, and SQL Server are either registered trademarks or trademarks of Microsoft Corporation in the United States and/or other countries. The names of actual companies and products mentioned herein may be the trademarks of their respective owners.

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