Stock‑outs during the promotion
Stock cover in each store for the promoted items, with stock‑outs flagged before the promotion starts.
Store sales, stock and the promotions calendar read together, so no store runs out of a promoted item.
In a store chain, sales sit in the POS, stock in the ERP and the distribution centre's WMS, and the promotions calendar in a spreadsheet shared with marketing. Each store's order pulls all of this together, often from memory, with every supplier's lead times on top.
Each store orders from its sales history and the judgement of whoever is on shift. This week's promotion and the weather forecast only come into it when someone remembers them.
One store runs out of an item while another, twenty kilometres away, has two weeks of cover. Transfers get arranged over the phone, when they get arranged at all.
Supplier funding and shrinkage move the margin every week. Margin by category and by store only becomes clear once the month has closed.
Did the last olive oil promotion bring in margin or just volume?
Which suppliers deliver late most often?
Which stores have the most fresh food waste this month?
How much dairy should we order for week 43?
Which products could we delist without losing sales?
AI brings together POS sales, stock in the ERP and the distribution centre, the promotions calendar and supplier lead times. From there it forecasts demand by store and by product and suggests orders and transfers for your team to approve.
Stock cover in each store for the promoted items, with stock‑outs flagged before the promotion starts.
Slow‑moving SKUs checked against demand in each store, so the stock moves before it has to be marked down.
Gross margin by category after supplier funding and shrinkage, every week, with the effect of each promotion in view.
Orders suggested from the forecast and each supplier's lead time, then approved by Buying.
Illustrative figures.
We connect to the systems you already have, without replacing them, and you decide which data each agent can read.
ERP, CRM, email and documents stay where they are, and nobody has to move to a new system.
Brings together what is scattered today and finds what does not add up.
Every sensitive action goes to whoever has the authority to approve it.
Works inside your team's systems and records where every decision came from.
We pick a group of stores and a family with frequent stock‑outs, such as dairy, and set the forecast side by side with what the team would have ordered. When the numbers justify it, we extend it to the rest of the network.
We map the operation and the data and choose what reaches production first.
We build in the tools you already use and put the system to work on real cases.
Your team takes the system over and we choose the next process together.
From the POS, sales by store and by product, which arrive as a daily export or straight from the database. From the ERP we read stock, orders and supplier terms through the API or scheduled exports, and suggested orders go back into the ERP as proposals for approval.
It accounts for anything with history behind it: the promotions calendar and the effect of past promotions, national and local holidays, and the weather forecast for sensitive categories such as drinks and ice cream. A promotion with no comparable history is flagged for the team to check the quantity.
Only if you want them to, and within the limits you set. By default, each suggested order reaches Buying with the quantities, the dates and the reasoning behind each figure, and goes out once approved.
They can be included if they share sales and stock, even as a daily file. Each store has its own forecast, and head office sees the whole network, owned and franchised, on the same dashboard.
On a 30-minute call we will work out which stores and categories are worth starting with.
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