The challenge
Beauty and personal care combines rapid product innovation with highly volatile demand. Sales can be shaped by emerging trends, influencer activity, promotional campaigns, seasonality, and sudden changes in consumer preferences. New launches are especially risky because they have limited direct history and are exposed to high uncertainty. When planning fails, the result is overproduction of slow-moving SKUs, capital tied up in inventory, unnecessary warehouse occupation, and reduced agility to respond to what the market actually wants.
How Factic helps
Factic helps beauty and personal care brands forecast demand more accurately, even in uncertain scenarios such as new launches or seasonal collections. Our models combine analogous product histories, trend signals, commercial behavior, and promotional calendars to build more realistic forecasts from the start. This allows teams to size initial production better, allocate stock across channels more effectively, and reduce the risk of costly imbalances while improving availability where demand is strongest.
Results
Beauty companies have reduced overproduction in new launches by 25% and improved sell-through rates by 18% across seasonal collections.
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