Demand forecasting and replenishment · by aQb Solutions

Retail Demand Forecasting and Replenishment for Odoo.

Retail OS is demand forecasting and replenishment software that connects to your Odoo point of sale, with price recommendations as a secondary capability.

Video transcript

Meet Retail OS, the AI layer that sits on top of your Odoo point of sale. Every morning starts on the dashboard. Weekly revenue, growth, and your monthly target, at a glance. The revenue forecast compares each week's actual sales against what was predicted, and stock alerts flag the products about to run out. Demand forecasting works for every product and every location. Pick any SKU to see its weekly forecast, a plain-language summary, and the days of stock cover left, so you know exactly when to reorder. Dynamic pricing recommends price changes based on demand and stock levels, inside the margin and markdown guardrails you define. No price changes without your approval. Supplier scorecards grade every vendor on on-time delivery, fill rate, quality, and price stability, so you always know who to trust. AI agents propose purchase orders, and show their reasoning: stock, demand rate, and lead time. You approve, reject, or modify. Nothing touches Odoo without your say. The retail calendar teaches the system about seasons and events, like Black Friday, so forecasts and prices anticipate demand instead of reacting to it. Retail OS. Forecast smarter. Stock better. Price with confidence.

Retail OS by aQb Solutions is AI demand forecasting and replenishment software for Odoo retailers that forecasts every product and location, drafts purchase orders and recommends prices, and changes nothing until you approve. Forecast smarter, stock better and price with confidence: it connects to your Odoo point of sale today, with other ERPs and POS systems needing their own integration. It forecasts demand for every product and location, flags stock risks early and drafts purchase orders, and also recommends prices, showing its reasoning each time. Nothing reaches your ERP until a person approves it.

Impact you can measure

Illustrative targets, to be confirmed in a pilot on your own data.

Hours → MinutesTime to build a purchase order
100%Products forecast, at every location
Days aheadEarly warning before stock runs out
100%Changes approved by a person before they reach the ERP
100%Recommendations shown with their reason
Forecast errorReported per product and location, on a pilot

What it does

Connects to Odoo and your other systems

Connects to your Odoo point of sale today, with no rip-and-replace. Sales, stock, suppliers and products sync in automatically and stay up to date. Other ERPs and POS systems are connected through integration.

Forecasts demand, with accuracy you can see

Predicts revenue and unit sales for every product and location, weekly or daily. It shows how actual sales compare with the forecast, so forecast accuracy is visible, and it explains each forecast in plain language.

Flags stock risks early

Tracks stock cover per product and alerts you before items run out. Each alert includes the reason, such as an approaching season or rising demand, and an order-now action.

Recommends smarter prices

Suggests price changes from sales trends and stock levels, inside the margin, markdown and markup limits you set. Every recommendation shows its reason and the change it would make.

Proposes purchase orders

AI agents draft purchase orders and show their reasoning: stock on hand, sales rate, supplier rating and lead time. Supplier scorecards grade each vendor on delivery, fill rate, quality and price stability.

You approve before anything changes

Review, approve, reject or modify every proposal in one queue. Nothing reaches your ERP until a person signs off, and a retail calendar of seasons and events keeps forecasts and prices ahead of demand.

Key Questions Answered

01 / 04

Which Odoo integration is supported today?

Retail OS connects to your Odoo point of sale today, with no rip-and-replace. Sales, stock, suppliers and products sync in automatically and stay up to date. Other ERPs and POS systems are not supported out of the box and are connected through integration work.

How it works

  1. 01Connect
  2. 02Sync
  3. 03Forecast
  4. 04Recommend
  5. 05Approve
  6. 06Apply

Technology stack

  • Next.js
  • TypeScript
  • Tailwind
  • Recharts
  • FastAPI
  • PostgreSQL
  • APScheduler

Use cases

01Multi-store retailers

Stock what sells, where it sells

Forecast demand for every product at every location, and see the days of stock cover left before items run out.

Want to see Retail OS on your own retail data?

Book a working session

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