Turn demand history into forecast-driven purchase reordering
Advance Reordering computes safety stock, suggested min/max quantities and forecast accuracy from real stock-move history, then rolls it out across every warehouse in one guided wizard.
The problem
Odoo's native reordering rules trigger on static min/max thresholds that ignore demand trends, seasonality and lead times. Growing distributors and multi-warehouse retailers end up stocking out on fast movers while cash sits tied up in slow ones — every purchasing decision is a reactive guess instead of a forecast.
The solution
Advance Reordering layers real demand history onto Odoo's reordering rules: it computes average daily demand, safety stock and suggested min/max per product, lets you apply pre-built reorder profiles in bulk, and tracks forecast-vs-actual accuracy so every recommendation can be trusted before you act.
Everything you need to reorder on forecast, not guesswork
Every capability below is implemented in the module.
History-driven reorder suggestions
Computes average daily demand, safety stock and suggested min/max quantities per product straight from completed stock moves out to customers.
Pre-built reorder profiles
Ship with Standard, Fast Mover, Seasonal and Long Lead Time templates so common product categories get sensible defaults without manual tuning.
Guided setup wizard
Scope by warehouse, product category or specific products and generate or update reordering rules for the whole catalog in one click.
Forecast-vs-actual variance tracking
Every forecast period records actual demand against the projection, computing variance and an accuracy score you can audit.
Forecast-accuracy dashboard
Graph and pivot views surface accuracy by product and category so you can see at a glance whether recommendations are trustworthy.
Uplift vs. native reordering
Each rule shows the percentage difference between its forecast-driven suggested maximum and today's static maximum, making the value visible in-product.
Supplier lead-time aware
Suggested reorder points factor in each supplier's lead time, or a manual override, so orders land before stock runs out.
Multi-warehouse and multi-company
Profiles, rules and forecasts are scoped per warehouse and company, matching how growing multi-location operations actually run.
Automated weekly forecast refresh
A scheduled action refreshes actuals and opens the next forecast period for every forecast-driven rule — no manual upkeep required.
How it works
Choose a profile
Pick Standard, Fast Mover, Seasonal or Long Lead Time, or define your own coverage, safety stock and service level.
Run the wizard
Scope by warehouse, category or specific products and generate reordering rules for the whole catalog in one click.
Review suggestions
Check the history-driven suggested min/max and safety stock per product, then apply them to the native reorder fields.
Track accuracy
The weekly cron keeps forecasts current and scores accuracy so you always know how much to trust each recommendation.
Frequently asked
No sales fog. If your question isn't here, email us and we'll answer it the same way.
No. Advance Reordering computes suggested values and can write them into the same minimum and maximum quantity fields Odoo's native replenishment already uses, so your existing purchase flow keeps working.
Buy it on the Odoo App Store
Purchase, download and install directly from the official Odoo Apps Store — you'll always get the latest supported build.
Advance Reordering
History-driven reorder suggestions with forecast-accuracy dashboards and supplier lead-time awareness — reordering built on demand trends instead of static min/max thresholds.
Buy on Odoo App Store