Alloy recently commissioned IDC for a Market Spotlight on the future direction of consumer goods companies, which you can read here. In the paper, IDC analyst and program vice president Simon Ellis explores how the industry has become consumer-driven, necessitating a transformation in how brands approach their sales and supply chain strategies.Read Now >
Retail sales enablement software platform Askuity automatically collects point-of-sale data and provides actionable insights on that information. Using inventory numbers as well as data collected from POS transactions, “Askuity aims to be the single source of data-driven insights for every store, every product, and every consumer,” per its website – but that mission is changing.Read Now >
Given how important demand planning is for consumer goods makers, you’d think teams are using really advanced tools for it, right? Especially in consumer electronics, where many of the companies are based in Silicon Valley and are pushing the boundaries of technology in their own products.
Late last year, Kristin Markworth, one of Alloy’s strategic advisors, set out to help us research this hypothesis, and the result was surprising, if not unexpected. Kristin is a 20+ year veteran in consumer electronics, and was most recently the VP of Sales and Sales Operations at GoPro, where she had gone on her own journey implementing planning processes and tools. To answer this question, she met with demand planners at a half-dozen consumer electronics companies, from Fortune 100 brands to digital-native upstarts, and heard a consistent story at each.
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We’re thrilled to be starting off the year at Alloy on an exciting note by announcing the release of our new intelligent demand forecasting capability. Powered by the granular sales and inventory data gathered into our platform, this feature allows brands to continuously forecast demand using the most up-to-date and consumer-driven information available. Our customers have found it helps them more quickly respond to consumer demand — minimizing lost sales due to out-of-stocks, preventing losses from overstocks, improving overall customer service levels, and growing sales.Read Now >
Consumer goods companies rely on forecasts to support inventory planning and distribution across their sales channels. Building accurate demand forecasts requires more than just an understanding of the latest machine learning techniques; it also requires the right data and an understanding of the potential costs of incorrect estimates.Read Now >