How to incorporate out-of-stocks (OOS) in forecasting

Mar 19, 2019  |  4 min read

Out-of-stock (OOS) events present a real conundrum to consumer goods companies when forecasting demand. On the one hand, you can’t simply ignore previous OOS events if you hope to prevent them in the future, but on the other hand, determining the “true demand” if out-of-stocks had not caused lost sales is a complex undertaking.

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Alloy recognized in top 10 of CGT 2019 Readers’ Choice Awards

Mar 13, 2019  |  2 min read

We are honored to join companies like Google, IBM, Microsoft, and SAP in being named a best-in-class provider in Consumer Goods Technology (CGT) Magazine’s 19th annual awards. Selected by the CGT community of consumer goods executives, Alloy was recognized as a top 10 vendor for both the Artificial Intelligence and Supply Chain Planning business functions.

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The role of seasonality in demand forecasting success

Feb 28, 2019  |  3 min read

As everyone in the consumer goods industry knows, demand forecasting is a demanding business. A serious attention to detail is required to achieve best-in-class accuracy levels.

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Case study: Kano goes from deployment to new insights in two weeks

Feb 26, 2019  |  2 min read

When it comes to retail analytics, the most valuable insights are often hidden deep beneath the surface, at the store-by-store level. For that reason, creative technology leader Kano Computing turned to Alloy to help them analyze their channel point-of-sale and inventory data at a more granular level.

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Retail analytics trends in 2019 and beyond

Feb 21, 2019  |  3 min read

Consumer goods brands that are looking to grow in 2019 and beyond need to take a closer look at their retail analytics. Also sometimes referred to as Point-of-Sale analytics, the insight they provide is critical to keeping up with fast-changing consumer demand, as well as keeping up with retailers that are becoming increasingly sophisticated with their use of data.

According to McKinsey, many buyers already have a wealth of customer information from both offline and online channels at their fingertips. As a result, “no longer will it be enough to generate insights at the national, channel, or customer level on a weekly or monthly basis. Retailers will expect store-specific, real-time insights tailored to their strategic priorities.”

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What makes a demand forecast best-in-class

Feb 19, 2019  |  4 min read

Forecasting is the process of estimating future demand in order to help make better-informed business decisions today. Across consumer goods brands, teams use forecasts to more intelligently allocate resources, optimize inventory, and maximize revenue.

However, companies vary widely in their forecast accuracy. According to the Institute of Business Forecasting & Planning (IBF), the retail industry averages a 30% error rate when forecasting products one month in advance, and “Best-in-Class Forecast Errors” is even a term in the IBF glossary.

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