Demand forecasting
Predict per-SKU demand by store using sales history, weather, public events, and calendar patterns.
Store-level predictions, daily
Tan & Co. learns each store's sales patterns and tells your team what to order, when to order it, and where margin is slipping.
Built for multi-outlet F&B, retail pharmacies, and independent shops.
Central kitchen, weekly demand view
Give store managers a clear next action instead of another spreadsheet. Each tool connects to your operating data.
Predict per-SKU demand by store using sales history, weather, public events, and calendar patterns.
Set reorder points and suggested quantities around shelf life, lead times, and supplier minimums.
Recommend prices from demand elasticity, competitor signals, inventory depth, and time to expiry.
Build offers around recency, frequency, spend, and basket affinity, then push them to loyalty channels.
See margin by item, outlet, and time of day in one working view for operators and finance teams.
Route unusual demand, low cover, and expiry risk to the people who can act before the next delivery.
The group connected store sales, central-kitchen production, and daily deliveries to per-outlet forecasts. Managers had a practical order plan within 12 weeks.
"Our managers now trust the system to order, not their gut."
Pricing recommendations respond to what is selling, what competitors charge, and how much stock remains.
The model protects margin while demand stays steady.
$4.2Madditional gross profit recorded by a pharmacy chain in one year using dynamic pricing.
Factors include demand elasticity, competitor pricing, inventory depth, and time to expiry. The recommendation is explainable.
Customers see bundles that fit their habits. Your team sees which campaign actually moved revenue.
RFM and basket affinity
Bundle offers to intent
POS and loyalty app
A/B test each uplift
same-store revenue from targeted promotions for an independent pharmacy chain.
Cloud-to-cloud data sync keeps forecasts current. Onboarding maps your menu or SKU hierarchy before the first model runs.
Stores with intermittent connectivity can keep working from a locally saved forecast view. The next sync catches up automatically.
Bring your outlet count, POS system, and biggest stock problem. Tan & Co. will show where forecasting, pricing, or promotions can make a measurable difference.