Infor Retail Demand Forecasting

Retail

Improve forecast accuracy by up to 50%

Infor Retail Demand Forecasting offers a modern takeon forecasting that links all levers (assortment, space,price, and fulfillment) into a single plan, so you can usemachine learning to uncover the underlying drivers ofdemand and generate more accurate forecasts that goway beyond time series approaches. With machinelearning, you not only get an initial improvement whenyou go live, but the precision continues to improveover time as the solution learns more.

Be more efficient

Reduce manual intervention by using recommendedlike items by store (based on product attributes) byhaving real promotional forecasting that considers allattributes of the promotion, rather than requiring usersto manually manipulate each and every promotion. Wefurther expand efficiency by allowing you to start withour out-of-the-box best practices and make thechanges you need to make your specific businesssuccessful. You get support for the most commondemand forecasting activities, and an approach thatcan provide a higher level of precision with far lessmanual intervention.

Benefits

■ Improve sales through better in-stocks.

■ Reduce excess and safety stock inventory.

■ Align item level tactics with category anddepartment-level sales plans.

■ Improve promotional in-stocks and sales attainment.

■ Evolve your process to support new strategies,without making a huge financial investment.

Complementary applications

■ Infor Retail Assortment Planning for Hardlines andfor Fashion

■ Infor Retail Category Management

■ Infor Supply Chain Optimization

■ Infor Retail Transportation Optimization

■ Infor Retail Everyday Pricing

■ GT Nexus Global Network

■ Infor Retail Item Planning

Improve sales while reducing total inventoryDo you still have a team of analysts that manually adjust your demand forecast to account for promotions, stockouts, and other causal factors? You can eliminate that activity with Infor® Retail Demand Forecasting, which usesmachine learning methods to decompose historical demand into constituents, each of which corresponds tocausal factors such as time of year (seasonality, holidays) or promotional event characteristics. Our self-learningforecast engine leverages all attributes and casual factors in order to eliminate noise from the data andcontinuously improve the forecast over time. With this approach, you can more accurately forecast baseline andpromotional demand (up to 50% better), to improve in-stocks, while reducing total owned inventory. At the sametime you can improve sales/margin by making better assortment and price/promotion decisions through a moredetailed view of cross-item demand.

Infor Retail Demand Forecasting

Learn more aboutInfor Retail Demand Forecasting ›

Handle your toughest forecasting tasks

■ Determine causal factors—The machine learningmethods built in to this solution allow you to moreaccurately determine which causal factors andattributes to consider. Plus, you can more easilyaccount for planned, regular, promotional, andmarkdown price changes in your forecast. Inaddition, the cannibalization and halo impact ofassortment, space, price, and fulfillment changes willbe included. You’ll get a reliable baseline to send toassortment, space, price, and fulfillment solutions.And even better—you can read and respond tochanges as they’re executed, instead of having towait a week.

■ Collaborate more effectively—Provide yoursuppliers and category captains with a secure, directlog-in, so they can supervise the parts of the forecastfor which they’re responsible.

■ Draw better conclusions—You can drawconclusions at the levels that matter most to yourbusiness, including: by collection or brand—not justby item; by currency or geography; by globallydistributed buying or planning team; and by multiplechannels and segments.

■ Achieve greater alignment—Real-time visibilityallows you to better align your demand forecast withyour merchandise financial plans, and to alignlocation with assortment, category, space, and priceplans. This way, you can work with the mostaccurate, up-to-date information.

■ Optimize staff—Since your staff won’t need toperform as many manual updates, they’ll be freed upto introduce new ways to tag demand alteringattributes, such as promotional, digital, in-store,competitive, and more. This can go a long waytoward helping you create even more precisedemand forecasts.

Infor can show you how our solutions can improve theprofitability of your business. With our agile approach todeployment, you can begin improving your forecastingprocess quickly, without making an enormous upfrontinvestment and waiting 18 months to find out if it works.

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