4 ways to automate food shop date code checks

#1 - The quick sweep

Who it's for: Independent food shop owners who do the date code sweep themselves. No second person, no audit trail beyond a daily note.

What it is: A food shop date code check is a sweep of every chilled and ambient section, pulling anything past its use-by date, rotating short-dated stock to the front, and reducing anything close to its best-before. It ends with a count of what was removed and a sign-off.

In practice: The owner of a small food shop works the shelves section by section on their phone, ticking off each part of the sweep, logging how many items they pulled, and initialling the bottom. The count on its own tells them whether today was a normal day or a sign that ordering needs adjusting.

Why it works: A sweep done in the same order every time (chilled, then ambient, then the fridge and freezer for anything unlabelled) means nothing gets skipped because the shop's busy. Logging a count, not just "done", turns the sweep into a number you can actually track over time.

Steps included:

• 1 checklist (5 date code checks)
• 1 number input (items removed past use-by)
• 1 sign-off (initials and time)

When to upgrade:

1. Someone other than you starts doing the sweep
2. New or casual staff need to understand the difference between use-by and best-before, not just follow a list
3. You want proof of what was pulled, not just a count
4. A regulator or head office wants a signed record

#2 - With guidance for new starters

Who it's for: Food shops with casual or rotating staff who do the sweep without the owner present. Small chains with a weekend team, high-turnover corner shops, independents that rely on part-timers.

What it is: The same date code sweep with two guidance panels added. One explains the difference between use-by and best-before before the checklist. One explains what counts as "removed" before the count, so even a single item gets logged. The guidance sits on the screen, so a new starter runs the sweep correctly without the owner there to check every call.

In practice: A new part-time worker isn't sure whether a yoghurt one day past its best-before needs pulling. The guidance panel explains that best-before is about quality, not safety, so it can still be sold if it looks and smells right, just reduced to move it. A use-by date, on the other hand, is a hard stop, no exceptions.

What it adds to the previous template:

1. A new starter can run the sweep correctly after one shift
2. The difference between use-by and best-before is on screen, not left to guesswork
3. Every item pulled gets logged, even a single one, not just the obvious cases
4. The owner answers fewer "is this one OK to sell?" questions

Why it works: The guidance sits right next to the check it explains, so it's read at the moment it matters, not in an induction session that's long forgotten.

Steps included:

• 1 checklist (5 date code checks)
• 1 number input (items removed past use-by)
• 1 sign-off (initials and time)
• 2 guidance panels (how to read the two dates; what counts as removed)

When to upgrade: When you want proof of what was pulled, not just a count (#3), or a signed record on top (#4).

#3 - With a photo of the removed stock

Who it's for: Food shops that want proof of what was pulled, not just a count.

What it is: The guided sweep plus a photo of everything removed, taken before it goes in the bin. The count says how many items were pulled; the photo shows exactly what they were.

In practice: A food shop that wants a stronger wastage record photographs everything pulled during the sweep before binning it. If a supplier disputes a wastage claim, or the owner wants to see a pattern in what's going off early, the photo alongside the count gives a much clearer picture than a number on its own.

What it adds to the previous template:

1. A photo of everything removed, taken before it's binned
2. Proof of exactly what was pulled, not just how many items
3. A visual record kept alongside the count, useful for spotting wastage patterns

Why it works: A count on its own tells you how much was wasted. A photo tells you what, which is what actually helps you fix an ordering problem or challenge a supplier.

Steps included:

• 1 checklist (5 date code checks)
• 1 number input (items removed past use-by)
• 1 photo (everything removed)
• 1 sign-off (initials and time)
• 2 guidance panels (how to read the two dates; what counts as removed)

When to upgrade: When the shop is part of a group and head office wants a signed record on top of the photo (#4).

#4 - With a signed sign-off

Who it's for: Multi-site food shop groups and EHO-scrutinised stores that need a full audit trail, not just a record kept locally.

What it is: The photo-backed sweep with a signature in place of the plain initials line. A small chain running several sites needs every store checked to the same standard, and needs to be able to see wastage patterns across sites without visiting each one.

In practice: Every day, whoever does the sweep signs off after logging the count and photographing what was pulled. That signature, timestamped and tied to the count, is what a regional manager reviews when comparing wastage across a group of shops.

What it adds to the previous template:

1. A signature closes the loop, stronger than a line of initials
2. A regional manager can compare wastage counts across sites without visiting any of them
3. The whole record, checklist, count, photo and signature, is timestamped together

Why it works: A signature is a deliberate act, not a habit typed on autopilot. Paired with a photo and a logged count, it's evidence a group can stand behind and actually learn from.

Steps included:

• 1 checklist (5 date code checks)
• 1 number input (items removed past use-by)
• 1 photo (everything removed)
• 1 signature (sign-off)
• 2 guidance panels (how to read the two dates; what counts as removed)

When to upgrade: When the sweep is involved enough that you want AI to help. Poppi could track the removed-item count over time and flag a site whose wastage is climbing, or compare counts across a group automatically. Those versions are coming in a future update.

How to pick the right version

You don't need to know our product to choose. Just answer three questions about how your date code sweep actually runs.

Is it always you doing the sweep, or do other people do it too?

If you do it yourself every day, the standard lives in your head, and that's fine. The moment anyone else does it, that standard has to live on the screen instead. Just you: #1 is enough. Anyone else: start at #2.

Do you need a photo as proof, or is the count enough?

A count tells you how much was pulled. A photo shows you exactly what. If a count is enough, stop at #1 or #2. If you want to be able to see wastage patterns or prove what was removed, #3 adds the photo.

Do you need someone to sign off at the end?

A record on its own works for a single shop. A signed sign-off is what a group or an auditor expects. If a record is enough, stop at #3. If you need a formal sign-off, #4 adds the signature.

Related workflows

• Food shop opening checklist - the checks that start the day, often alongside this sweep
• Food shop closing checklist - the checks that end the day
• Stock rotation - the first-in-first-out discipline behind moving short-dated stock forward
• Date labelling - how dates get applied to stock in the first place
• Daily food shop cleaning - the cleaning routine that runs alongside this sweep
• Approved suppliers - the supplier record a wastage pattern might feed back into

Conclusion

A food shop date code check is a sweep of every section, pulling out-of-date stock, rotating what's short-dated, and logging what was removed. The version you run depends on whether it's just you or a wider team doing the sweep, and whether you need a count, a photo, or a signed audit trail. Most single shops are well served by #1 or #2; multi-site groups and scrutinised stores move up to #3 and #4.

→ Build your own food shop date code check on Pilla.