The same six loaves come back every Monday
The farm shop's standing order has not changed since it opened. Every Monday, six loaves come back. The cafe down the road never returns anything, but the owner mentioned they throw away a bag of rolls most afternoons. A sandwich shop orders the same on Saturday as on weekdays, although it is half as busy.
Everyone knows, roughly. Nobody has the time to sit down with each customer and adjust the order, and the bakery worries that suggesting a smaller order means selling less.
Why orders never get adjusted
Standing orders are easy to set and awkward to change. The customer does not want to run out, so orders are generous. The bakery does not want to be seen pushing volume down. And the information that would make the conversation easy, what was delivered and what came back, day by day and product by product, is not pulled together.
- Standing orders are set at the start and left alone.
- Returns are recorded, if at all, as weekly credits.
- Waste at the customer's end is not reported to you.
- Day-of-week patterns are not visible.
- Nobody owns the job of reviewing orders.
What over-ordering costs both sides
For sale or return customers, you bake bread that comes back, paying for ingredients, labour and energy for nothing. For firm-sale customers, the cafe pays for bread it throws away, and sooner or later decides your bread is too expensive, or tries another bakery. Either way, the waste is real and the relationship is weaker.
The standing order review we build
- Deliveries, returns and credits for each customer are brought together by product and day of the week, from your delivery records and returns logging.
- Customers who are willing can report end-of-day leftovers with a quick form on their phone, which is added to the picture.
- For each customer, the report shows average delivered, returned and reported waste by product and day, over the last few weeks.
- Where a product regularly comes back or is wasted on a particular day, the report suggests a smaller standing order for that day, and where a customer regularly runs out, a larger one.
- The suggestion is a starting point for a conversation. You or your driver share a simple one-page summary with the customer.
- Changes agreed with the customer update their standing order from a date you set, and the report tracks whether returns fell afterwards.
| Pattern | Suggestion for discussion |
|---|---|
| Same product returned most Mondays | Lower Monday quantity |
| Customer runs out on Saturdays | Higher Saturday quantity |
| Line rarely sells at one shop | Swap for a different product |
| Returns steady across all days | Small reduction across the week |
Better orders, better relationships
Customers see that you are looking out for their margin, which builds loyalty in a way a price cut rarely does. You bake closer to what is actually sold. Returns and waste fall where orders are adjusted, and you can see the effect in the report. And the conversation is based on their own numbers, which makes it easy.
Sometimes the report points the other way: a customer who runs out before lunch every Saturday is losing sales, and a bigger Saturday order is good for both of you.
The same view helps the bakery plan its own range. A product that comes back from most shops on most days is telling you something about the product, not only about the orders.
Could this help your bakery?
- Standing orders have not been reviewed in months.
- The same products come back on the same days.
- Customers mention throwing bread away.
- Some customers run out while others over-order.
- You have never shown a customer their own returns pattern.