Turn stock history into a buying conversation
How we help
Recent sales alone can be misleading when a product was out of stock, promoted heavily or launched only a few weeks ago. Supplier lead times and minimum order quantities can also make the apparent reorder point impractical.
BrownBag prepares an inventory planning model around your SKU history and buying constraints. We separate observed demand from assumptions, map incoming stock and supplier lead times, and build a report the buying team can review before committing to a purchase.
Discuss this service →The work, step by step
How the work is handled
Review demand and stock history
Check SKU changes, stockout periods, returns and unusual promotions. Map on-hand, reserved and incoming quantities so the model starts from a usable inventory position rather than a single unqualified stock total.
Build replenishment scenarios
Agree demand periods, lead times, minimum order quantities and safety-stock assumptions. Compare stock cover and suggested reorder timing under realistic demand scenarios, including seasonal items where history supports them.
Review recommendations with buyers
Walk through priority SKUs and explain why each item needs attention. Record overrides, supplier constraints and purchase decisions, then set the refresh and review routine for the next buying cycle.
Clear handover
What you receive
- SKU history and data-quality review
- Stock-cover and reorder planning model
- Demand scenarios with recorded assumptions
- Prioritised replenishment review report
Start the conversation
Prepare your brief
These details help us scope the work:
- SKU-level sales, stock and purchase-order history
- Supplier lead times, MOQs and ordering constraints
- Promotion plans and known seasonal demand patterns
Your questions, answered
Will the model place purchase orders automatically?
This service provides planning and reporting. Buyers review the recommendations and approve purchasing decisions. A separate approved workflow would be needed to connect those decisions to purchase-order creation.
Can new products be included without much history?
Yes, with explicit assumptions such as an initial sales plan or a comparable range. We distinguish these scenarios from forecasts based on observed SKU history and review them as actual trading data becomes available.