Bakery loses more of its sales to shrink than almost any other department in the store. In FMI’s 2019 industry benchmark, based on 2018 results, in-store bakery shrink averaged 8.5% of sales, compared with 3.1% store-wide. Source: FMI benchmark reported by Produce Business
That gap matters because grocery operates on exceptionally thin margins. FMI’s 2025 industry report put food-retail profit margins at just 1.7%. Source: FMI
Most plans to fix bakery shrink start with better ordering. That instinct is sound. Ordering matters. But forecasting alone cannot fix what happens to a product once it reaches the department.
A faster lever sits in the daily routine: when teams identify short-dated stock, what action they take, and whether that action is recorded.
What causes bakery shrink in a grocery store?
Bakery shrink comes from a familiar mix: overproduction, forecasting misses, spoilage, date removal, poor rotation, handling damage and markdowns that happen too late.
The exact mix varies by retailer and store format, so there is no credible universal percentage split between those causes.
But we do know that spoilage and date management matter. In a 2015 retail survey by Sealed Air Food Care, respondents estimated that 81% of bakery shrink came from the combined category of food spoilage and date removal. That’s an important distinction: it does not mean 81% of bakery waste is preventable, but it does show why date control deserves attention. Source: Sealed Air Food Care retail food-waste survey
INSIGHT
Rotation discipline and markdown timing are two areas stores can influence through daily execution without waiting for a forecasting transformation.
The routine cannot change yesterday’s production decision. It can change what happens to the product after it reaches the shelf.
Markdown timing changes the economics of waste
The earlier a store identifies short-dated stock, the more options it has.
Teams can keep the item at full price, apply a markdown while meaningful selling time remains, adjust the price again later, or take another corrective action before the product becomes a write-off.
Research using transaction, perishability and cost data from a grocery chain’s artisanal bread category shows why timing matters. In modeled scenarios, moving from optimized static pricing to optimized dynamic pricing reduced planned waste by 20.82% and increased category gross profit by 2.88%. Source: Marketing Science study on grocery dynamic pricing
Those figures are modeled outcomes, not a guaranteed result for every bakery. But the operational lesson is useful: the value of a markdown depends partly on how much selling opportunity remains when the decision is made.
The takeaway is simple: find the product while there is still time to act.
Rotation, and the shopper who reaches to the back
Date-driven waste is not only a labeling problem. Rotation is a big part of it.
When fresh stock is placed ahead of shorter-dated products, the older stock can remain stranded at the back of the display until there is little or no selling time left.
First-expired-first-out (FEFO) means putting the product with the earliest expiry date at the front of the display, regardless of when it arrived.
That differs from first-in-first-out, which rotates stock according to delivery order. In fresh departments where batches can have different remaining shelf lives, FEFO gives teams a better way to manage date-driven waste.
Getting FEFO right depends on knowing what dates are actually on the shelf, which is why expiration date tracking matters.
Rotation and markdown timing are therefore closely connected: rotation helps teams find the risk; markdowns give them an opportunity to recover value from it.
The loss your reports never see
There is another problem: even when teams find waste, the reason behind it does not always make it cleanly into the data.
A global ECR Retail Loss study covered grocery retailers representing more than $727 billion in annual sales across more than 45,000 stores. Source: ECR Retail Loss global food-surplus study
The study found significant differences in the way retailers identify, classify and manage food surplus. Reason-code systems alone ranged from 2 to 14 codes, with a median of 6. Source: ECR reason-code findings
Why does that matter?
Imagine an associate removes an expired bakery item. The physical destination might be a disposal bin, but the business reason for the loss is expiry. If the system records only “damaged” or “disposed,” the buyer never sees the actual cause.
The store loses the product – and then loses the information explaining why.
Without clean waste data, next week’s ordering decision is based on an incomplete picture. The same overproduction or rotation problem can then happen again.
That’s the loop worth breaking.
What does a daily bakery date-check routine look like?
You do not need to redesign the entire forecasting stack to get started.
You need a repeatable routine that runs at the right time, produces evidence and escalates when action is missed.
A workable bakery routine has five parts:
- A scheduled check. Someone walks the department at a defined time, early enough to leave a meaningful selling window for products requiring action.
- A decision, not just an inspection. For each short-dated line, the associate decides whether to leave it, mark it down, move it or remove it according to store policy.
- Proof the action happened. Photo verification and a digital timestamp give managers stronger evidence that an action was completed when and where it was supposed to happen.
- A clean waste record at the point of action. Waste and markdown information is captured where the product is, with the root cause separated from the final disposal route.
- Escalation when the check is missed. A missed or failed check creates a corrective action with a named owner and deadline instead of remaining invisible until the next audit.
And the routine does not need to become a 20-minute checklist.
In one retailer time-and-motion study, checking a standard block of products on a shelf or in a cabinet took an average of approximately 1.9 minutes. Source: ECR Retail Loss study
That is why the workflow should stay short, targeted and role-specific – the same principle behind effective retail task management.
The hidden cost of unsold food goes beyond the product
Shrink is not the only cost created when food does not sell at full price.
Someone has to find the product, check it, mark it down, record it, move it and eventually redistribute or dispose of it.
Research led by the University of Portsmouth for ECR Retail Loss estimates that these hidden costs of managing unsold food can reach 1.8% of sales revenue. The figure includes staff time, markdowns, redistribution, disposal and unexplained losses. Source: University of Portsmouth / ECR Retail Loss research
That is particularly significant in an industry operating at around a 1.7% net profit margin. Source: FMI
The same ECR research estimates that, if retailers could halve those hidden unsold-food costs, most could increase profits by more than 20%. That is a modeled business impact across the cost base – not the result of markdowns alone – but it shows why waste execution deserves attention at P&L level. Source: ECR Retail Loss / University of Portsmouth
Proof that better execution can work at scale
The principle extends beyond bakery.
A randomized field experiment involving 28 Gap stores over nine months tested more consistent and predictable store scheduling. Productivity increased 5.1%, driven by a 3.3% increase in sales and a 1.8% decrease in labor. Source: Management Science randomized field experiment
That research did not test bakery shrink directly. What it demonstrates is the broader value of structured store execution.
And grocery-specific YOOBIC customer results show what that structure can look like in practice.
At Morrisons, head office previously sent 80 to 100 operational tasks per week to stores. After redesigning task routing with YOOBIC, that fell to approximately 10 prioritized actions per manager – a 90% reduction in weekly manager task load. The deployment connects more than 70,000 frontline colleagues.
At Lidl France, YOOBIC reports an 11% increase in company-wide compliance, 98% cold-chain maintenance over the previous year and 86% weekly active users.
These are customer-reported YOOBIC outcomes, rather than independent academic benchmarks. But they demonstrate the operational principle: when the right action reaches the right person and completion becomes visible, execution becomes easier to manage at scale.
What records do food safety teams need?
There is a compliance benefit to the same routine.
Digital date checks, temperature records and corrective actions create a timestamped trail of what happened in the department instead of relying on a paper record reconstructed later.
In the UK, a use-by date relates to food safety, and government guidance states that selling food after its use-by date is a criminal offence. Source: UK government food-labelling guidance
Best-before dates are different: they generally relate to quality rather than safety.
In the US, FDA Food Code section 3-501.17 provides date-marking requirements for certain ready-to-eat time/temperature-control-for-safety foods held for more than 24 hours. When stored at 41°F / 5°C or below, the maximum period is 7 days, subject to applicable adoption and enforcement requirements. Source: FDA Food Code date-marking guidance
Not every bakery item falls into those rules. But the operational principle is the same: when a check matters for safety or compliance, teams need evidence that it happened.
A routine designed to protect margin can create that evidence at the same time.
Start where the loss is concentrated
Bakery is a useful place to start because the department combines high historical shrink with short shelf lives and daily decisions around production, rotation, markdowns and waste.
Walk the department while there is still time to act.
Put the earliest dates where customers will find them.
Make the markdown decision while there is still selling opportunity.
Record what went to waste – and why.
Then use that information to improve the next order.
The same operating model can transfer to deli, produce and prepared foods. The products and timing change, but the execution loop stays familiar:
find the risk -> decide -> act -> verify -> learn.
For the wider view, see our guide to grocery store operations.
Start retailing smarter
Frequently asked questions
How can grocery stores reduce food waste?
Start by identifying short-dated inventory earlier. Then enforce FEFO rotation, make markdown decisions while meaningful selling time remains and capture an accurate reason for every write-off. There is evidence that pricing strategy can make a meaningful difference: grocery artisanal-bread research modeled a 20.82% reduction in planned waste and 2.88% increase in gross profit under optimized dynamic pricing versus optimized static pricing. Source: Marketing Science The objective is not simply to discount more. It is to intervene while the retailer still has options.
