Forecasting Built For Food Retail
Forecast every item from grocery to convenience, with AI built to handle it all: fast-turn perishables, shelf-stable staples, and ready-to-eat meals.
See Forecasting in Action
No more siloed forecasts
Fresh, foodservice, and packaged goods are forecasted with one system, eliminating gaps between departments
What spreadsheets miss
Analyzes 40+ demand signals with non-linear AI models to uncover patterns basic tools can’t detect
Balance risk
Uses probabilistic forecasting to weigh the cost of over- vs. under-forecasting, even for slow movers
Plans months ahead
Extends forecasts up to 120 days, supporting labor planning and seasonal events, not just tomorrow’s order
Improve every cycle
Runs models in parallel and continuously tunes them, so accuracy increases without disruption in stores
“The accuracy of forecasting through Upshop has given us a level of comfort to lean in with innovation, balance space to sales and maintain availability for our guests. And in turn, that's helping drive our mix and helping drive our sales.”
Ken Wicker SVP Fresh, Festival Foods
Cost of forecasting without AI
- More Waste: over-ordering and over-production eat margin
- Lost Sales: out-of-stocks lead to lost profits and loyalty
- Labor Drain: teams spend hours managing spreadsheets instead of customers
- No Visibility: siloed tools prevent a full-store view
Sales
Uses historical and ongoing POS data to capture real demand patterns
Weather
Ties demand shifts to local temperatures and seasons
Events and Holidays
Adapts forecasts around national and local occasions
Promotions
Models lift and elasticity from past and upcoming promos
Cannibalization/Halo
Shows when new items cannibalize or lift related products
97%
average forecast accuracy delivers precise demand signals across the store
Trusted
by leading food retailers like Wegmans, Albertsons, and Circle K
94%
forecast adoption customers follow recommended quantities with confidence
Inventory 360
Leverages the forecast to dynamically anticipate demand at the item-store-day level, reducing out-of-stocks and manual ordering effort while improving inventory turnover
Fresh 360
Purpose-built for fresh short-shelf-life items, the forecast ensures associates prep the right amount, at the right time — it accounts for holidays, store-specific demand, and prep lead time to optimize labor and product freshness
Commerce 360
Powers digital shelves to reflect what's physically available and enables better customer experiences with higher pick accuracy, reducing refunds and substitutions
Waste 360
Forecasting reduces waste with better demand predictions, improves inventory rotation and availability, and optimizes markdowns with price elasticity to protect margin and sales
01
Do customers have any controls or levers to influence the forecast?
Yes, retailers can adjust key merchandising inputs, refined through decades of grocery experience, to keep forecasts aligned with their stores.
02
How is AI used in Upshop's forecasting?
Upshop uses AI functions to train the forecast engine on multiple complex data sources, providing the most accurate forecast possible at the store-item level.
03
Can you also forecast for new items or Limited Time Offers (LTOs)?
Yes, Upshop is able to forecast for new or limited time items using category-level forecasting, global training, and more.
04
Does the forecast work for different departments like fresh and center store?
Yes, Upshop uses a unified forecast for the entire store, for all departments, and all items.
05
Do stores have control to adjust the Make or Order quantities suggested by the forecast?
Yes, stores have the ability to adjust their recommendations. This ability can be configured at the admin level.
See What Your Forecast Could Be
Want to find out how Upshop’s forecasting could work for your stores? Our team will walk you through the model and show how it would apply to your demand patterns and production and ordering cycles.