“Igloo Frozen” is a representative, illustrative example used to show how a frozen-foods operator would typically deploy Fast WMS. It is not a report of verified metrics from a named customer. The workflow described is real to the product; the figures are indicative of what cold-storage operators aim for, not audited results.
Almost every cold store has the same recurring, quiet loss: at the monthly count, someone finds a pallet of product that expired weeks ago, sitting behind newer stock that kept getting picked instead. Nobody was careless — the stock was simply picked by what was reachable, not by what expired first. This illustrative case study follows how an operator like “Igloo Frozen” would close that gap with Fast WMS.
About this example
The scenario below is generic and representative of frozen-foods and cold-chain operators. It is written to show the mechanics of the product, using the kind of situation these businesses routinely face. For the how-to behind it, see setting up FEFO in a cold storage warehouse.
The challenge
A frozen-foods distributor runs a deep-freeze warehouse holding hundreds of pallets across dozens of dated SKUs. The recurring problems will be familiar to anyone in the cold chain:
- Expired product found at the count — discovered too late to sell, transfer or discount.
- Picking by reach, not by date — staff took whatever pallet was in front, so newer, shorter-dated stock could sit untouched.
- No early warning — nobody saw which lots were about to lapse until it was already a write-off.
- Audit anxiety — no clean way to prove that dispatched stock always had the nearest eligible expiry.
The setup
Deploying Fast WMS for a cold store like this centres on three things: modelling the frozen and chiller zones as bins, capturing batch and expiry on every pallet at goods receipt, and switching on FEFO enforcement at the pick. Each physical pallet becomes a uniquely numbered License Plate carrying its production and expiry dates, and its bin history is recorded append-only, so the store always knows where every lot is and how much life it has left.
The workflow change
The change on the floor is simple but decisive: pickers stop choosing pallets and start following the scanner.
| Before | After Fast WMS |
|---|---|
| Pick whatever pallet is reachable | Handheld directs the picker to the nearest-expiry eligible pallet |
| Expired stock can be picked by mistake | Expired lots excluded as a hard rule — never offered |
| Near-expiry stock discovered at the count | Expiry dashboard flags it days or weeks ahead as an action list |
| No proof for audits | Every pick and dispatch time-stamped and traceable to the lot |
A second check at the dispatch dock confirms nothing expired or held is loaded, so FEFO is enforced twice between the freezer and the truck.
The outcome
The target outcome for an operator like this — and what the product is designed to deliver — is that no expired stock is dispatched, and that near-expiry lots are surfaced early enough to be sold, transferred or discounted rather than written off. Instead of finding expired pallets at the monthly count, the team works a dated expiry list every week and lets the scanner enforce the picking order. Expiry stops being a surprise loss and becomes a managed, shrinking line.
What made it work
Three product mechanics do the heavy lifting in this scenario, and they are worth naming because they are what any cold store should look for:
- Accurate expiry at receipt — FEFO is only as good as the dates it orders on, so capturing them on every pallet is the foundation.
- Hard exclusion, not a suggestion — expired lots are filtered out entirely, and the nearest-expiry eligible lot is picked first via the FIFO/FEFO picking engine.
- Early warning — the Lot Expiry Dashboard turns dates into a worklist before, not after, the expiry.
Turn monthly expiry write-offs into a weekly action list — and zero expired dispatches.
Fast WMS enforces FEFO at the scanner, excludes expired lots by rule, and surfaces near-expiry stock on a dashboard early enough to act. Built for frozen and chilled operations, cloud or on-premise, in India and worldwide.
Frequently asked questions
Could your cold store hit zero expired dispatches?
A 30-minute demo with your zones, lots and expiry rules — see FEFO picking and the expiry dashboard on your own stock.
