Anticipate the peak before it breaks your stock
Peak Radar predicts demand store by store, with special attention to seasonal peaks, so procurement and logistics can react before product runs out on the shelf.
Stockouts hit exactly when you sell the most
Campaigns, holidays, or season changes spike demand unevenly across stores, and aggregate forecasts don't catch it in time.
Peaks you don't see coming
Demand spikes on specific dates and the general forecast doesn't distinguish store by store.
Late replenishment
By the time the stockout is spotted, the order and the transport no longer arrive in time for the peak.
Lost sales
Every stockout in high season is a sale you don't recover and a customer who tries a competitor.
Demand forecasting focused on real seasonality
It analyzes sales history, the commercial calendar, and external signals to anticipate when and where demand will rise, with enough lead time to react.
Seasonality detection
Identifies recurring patterns by date, campaign, or weather that affect each category's demand.
Store-level granularity
Predicts the peak at point-of-sale level, not just at chain or region level.
Early alerts
Alerts procurement and logistics early enough to adjust orders and delivery routes.
Continuous learning
Tunes the model with every new season, improving prediction accuracy over time.
From historical data to on-time replenishment
The solution watches the calendar and the sales history to anticipate every peak with room to react.
Connects with what you already use, frictionlessly
It builds on your sales history and the commercial calendar to anticipate every peak.
ERP and sales history
Consumes sales history by store, SKU, and date from your ERP or point-of-sale system.
Peak Radar
Models seasonality and predicts the expected volume by store and category.
Procurement and logistics
Sends alerts and replenishment recommendations to the procurement and supply chain teams.
Human oversight available at every critical step: the solution proposes, your team decides when it's needed.
Where timing is everything
Seasonal retail (fashion, garden, toys)
Anticipates campaign peaks and avoids running out of product in the key weeks.
FMCG and food
Predicts demand upticks from holidays or local events, store by store.
Logistics and distribution
Adjusts routes and safety stock before the order peak overwhelms delivery.
A garden center chain that ran out of stock every spring
A real example of the kind of situation this solution solves.
At the start of every spring, several stores ran out of the best-selling items during the first week of the campaign, while other stores in the same chain sat on excess stock.
The forecast was done at chain level, without recognizing that the peak arrived earlier in some areas than others. The replenishment order went out once the stockout was already visible on the shelf, too late to react.
Peak Radar predicts, store by store, when the spring peak will arrive, weeks ahead — enough time to adjust orders and transport.
With the history of recent campaigns and the season calendar, the solution identifies which stores will pick up first and by how much, making it possible to redistribute stock between stores before the stockout happens.
Get ahead of the next demand peak
We'll show you what Peak Radar's prediction would look like with your own stores' history.