Fresh isn't a harder version of dry grocery. It's a different problem.

Most planning systems treat fresh as dry grocery with a shorter shelf life. Same forecast, same service-level target, same safety stock logic, just tighter. It is one of the most expensive assumptions in the industry.

The downside is not symmetric

Order too much of a shelf-stable product and the cost is a little working capital for a few extra days. The stock sells eventually. The mistake is small and it corrects itself.

Order too much of something with four days of life and the extra is a write-off. Order too little and the shelf is empty by mid-afternoon. There is no "eventually". Every order is a bet with two ways to lose.

So the question isn't "what service level do we want?" It's "how much waste will we accept to avoid an empty shelf?"

That answer is different for every category

Bananas: bias hard towards availability. An empty banana display makes the whole produce section look picked over, and customers read it as a signal about the store. Writing off a few kilos costs less than that impression.

Imported berries: bias towards waste control. The margin doesn't survive much spoilage, and customers who want them will usually accept a smaller display.

Bread, dairy, ready-to-cook batters, cut vegetables: each sits somewhere different on that line, and the right place depends on margin, how visible a gap is, and what customers substitute to. It is a commercial judgement, and it belongs to the category manager.

Where most systems go wrong

In most systems that judgement exists, but it is buried: a safety stock parameter, a rounding rule, a service-level number set during implementation and never revisited. Nobody decided it on purpose, and nobody can see it.

Case-pack rounding is where this shows up most. The calculation says order 37, the case is 24. For a shelf-stable line, rounding up to 48 is harmless. For a line with four days of life it is eleven units of planned waste, every order, in every store.

Why this matters more in India

Estimates of post-harvest loss in Indian fruit and vegetables run from 15 to 40 per cent depending on the produce and the study. Quick commerce has added a channel where the order is placed by the platform, often daily, in quantities the brand only sees afterwards. Short-life brands are now planning against two very different demand patterns at once.

None of that is solved by a better forecast alone. It is solved by making the waste-versus-availability trade-off an explicit decision, set category by category, visible to the people accountable for it, and then letting the ordering follow from it every day.