Generic checklists tell a Coffee Shop & Cafe what to do. This page shows how often each failure actually happens and what it costs. It draws on published primary sources: FDA inspection data, UK FSA enforcement records, WRAP and ReFED waste studies, out-of-stock research, and peer-reviewed merchandising experiments. It is the evidence behind our free coffee shop checklist pack. We independently checked the key numbers on this page against their original sources before publishing. No number on this page is estimated or generated.
| # | Failure & published frequency | Sources |
|---|---|---|
| #1 | Chilled cases holding product above 5°C while the shop is open Restaurants failed to keep food cold enough (cold holding) in 62–80% of restaurants (FDA 2017–18). Retail deli counters failed too, 70% of them (FDA 2015–16). Delis are the closest match to a chilled dessert case that inspectors have studied. This has stayed about the same for 20+ years of inspection data. | FDA Restaurants 2017–2018 FDA Retail Delis 2015–2016 |
| #2 | Best-selling items running out of stock (stockouts), caused by problems inside the store About 8.3% of stock items (SKUs) are out of stock at any moment (Gruen/Corsten/Bharadwaj 2002). This rate has stayed the same for 40 years. 47% of causes are store ordering and forecasting. 25% are items in the store but not on the shelf. 31% of shoppers buy elsewhere. 9% buy nothing. The sale is lost about 4 times in 10. Being out of stock (OOS) costs about 4% of annual sales. | Gruen & Corsten, NACDS guide ECR Retail Loss |
| #3 | Expired or un-date-marked product still in the chilled case 35–64% of restaurants failed to mark expiry dates correctly (FDA 2017–18). So did 52% of delis. UK enforcement: Asda was fined £410k over 62 out-of-date items; an independent store was fined £1,700+ over 14 items - including profiteroles - after one complaint. | FDA Restaurants 2017–2018 BBC (Asda) RCT Trading Standards |
| #4 | Making and ordering too much bakery and dessert stock US grocery unsold rates: breads & bakery 3.6%, prepared foods 8.1% (ReFED 2024). UK hospitality wastes 15–18% of food served, compared with 0.44% in managed retail (WRAP). Making too much food alone causes 22% of foodservice waste. Wasted food is worth about twice the profit made on food sales. | ReFED/WWF Pact Data Report 2025 WRAP UK Key Facts 2025 |
| #5 | No plan for cutting prices (markdown), or cutting prices too late One extra day of shelf life cuts waste 42.8% (ECR field study). Cutting prices (markdown or dynamic pricing) is the waste solution with the highest profit potential on record (ReFED). | ECR Sell More, Waste Less |
| #6 | Chilled deliveries arriving above safe temperature, accepted unchecked Nearly 47% of 684 perishable items across 169 shipments arrived above 40°F (Rutgers study). Some arrived as hot as 75°F. Across studies of keeping food cold from delivery to the counter (cold chain), 14–58% of recorded temperatures were higher than recommended. 12% of global food production is lost because food isn't kept cold enough from delivery to the counter (IIR). | Food Safety News Ndraha et al., Food Control 2018 |
| #7 | Undeclared allergens - the #1 cause of food recalls 49.2% of all US food recalls in 2023 were undeclared allergens, up 27% year over year. UK anaphylaxis registry top triggers are tree nuts 26%, milk 20%, egg 12%. These match exactly what a croissant counter sells. Typical recall cost is about $10M. | Food Safety Magazine / US PIRG FSA/NHS registry |
| #8 | No written checklist or regular logging habit at all FDA's strongest sign of compliance is this: shops with no written food-safety system average 4.6 violations. Shops that have one average 2.4. A system roughly halves violations. Retailers who started measuring waste by category cut unsold rates 30% in five years (ReFED). | FDA Retail Delis 2015–2016 ReFED West Coast |
| #9 | Fridges changing temperature or failing between checks Monitored supermarket cabinets often ran outside the safe temperature range. This happened up to 45% of normal operating time (Talbot et al. 2020, peer-reviewed). A single breakdown costs $25k–75k in product and repair. 85% of restaurant product-loss issues trace to poor storage. (These numbers come from a vendor. They are a rough guide, not a target.) | Talbot et al., Int J Refrigeration 2020 |
| #10 | Stock records that don't match physical stock 65% of about 370,000 inventory records across 37 stores were wrong (Management Science 2008). A 2025 UK grocery study found almost the same result, 64.7%. Perishable food was worst. 27% of stock loss comes from mistakes in the process, not theft (NRF). | DeHoratius & Raman 2008 UK study 2025 |
| #11 | Short, late or wrong deliveries accepted without a count Walmart had to lower its on-time, complete-delivery target from 98% to 90/95% because suppliers couldn't hit it. Delivery failures cost consumer goods companies over $1bn a year. Even certified food suppliers average 4.86 problems found per audit. | Forbes FSNS BRCGS data |
| #12 | Improper cooling of in-house prepared items 59–69% of restaurants failed to cool food correctly, across four FDA inspection rounds covering 20 years. This only matters if you prepare desserts in-house - add a clear cooling check if you do. | FDA Restaurants 2017–2018 |
| #13 | Coffee beans going stale on the shelf and in badly resealed bags The key fresh-aroma compound drops to about 30% of its original level within 8 days. Nitrogen-flushed packaging doubles how long it stays fresh-tasting. | SCA staling review Zimmermann et al. 2025 |
| #14 | Empty displays and wrong shelf placement Doubling the number of items shown on the shelf raised brand noticing from 60% to 76%. The eye-level shelf got a 7.5% share. Low shelves got 4.0% and high shelves got 3.3% (1.3 to 2.3 times more, peer-reviewed - not the untraceable '+35%' claim). 82% of decisions are made in-store. 62% of purchases are unplanned. | Chandon et al., INSEAD Sigurdsson et al. 2009 |
| #15 | Items on promotion running out of stock far more than usual Items on promotion run out of stock up to 75% more often. Fresh and impulse-buy categories hit about 15% out of stock, compared with the 8.6% average (ECR). The promotion is running, but the product isn't there. | ECR Retail Loss |
| #16 | No add-on selling or bundle offered at checkout A coffee-plus-add-on bundle increased profit 23.9% in a randomized field experiment at a global convenience chain (M&SOM 2024). The effect faded when the promotion stopped. That is why the pack makes it a standing daily check, not a one-time campaign. | Bandi, Cohen & Ray 2024 |
| #17 | Skipping sampling and tasting One sampling event produced roughly double the immediate sales boost of an in-store display. The effect lasted 2–8 weeks (about 45 weeks if repeated). Stores with fewer products gained even more from it (Journal of Retailing 2017, includes coffee-shop data). | Wadhwa et al. 2017 |
| #18 | Beans shelved too soon after roast 94.7% of 21 double-blind taste-tested coffees peaked only after 72+ hours of rest. 73% peaked at 8+ days. Using the oldest roasted beans first (FIFO) should include a 'best from' start date, not just an end date. (This is a single study run by a vendor.) | Cafe Kreyol rest study |
No published dataset answers these - anywhere. Every one is a number this pack's own logs generate for your operation within weeks. It is a number your competitors don't have. The v2 pack replaces this section with combined, anonymous rates from 2,000+ live outlets.
| # | The unpublished number | What generates it |
|---|---|---|
| 1 | % of coffee actually sold past its best freshness in stores | Logs using oldest-roasted beans first, plus pulling items past their best-before date |
| 2 | Recovery rate from cutting prices - % of marked-down short-dated items that sell, compared with getting thrown away | Logs of price cuts as items near their date (cutting prices → sample → waste) |
| 3 | Out-of-stock rates for coffee shops and cafés as a type of business | Checks for empty shelf spots and noting when items run out |
| 4 | Waste rates for the Coffee Shop & Cafe concept specifically | Daily waste-by-item logs |
| 5 | % of deliveries arriving close to their expiry date at small shops | Logging delivery dates when goods arrive |
| 6 | % of deliveries that are too few, too many or wrong, from foodservice distributors to small shops | Counting deliveries compared with the order → on-time, complete-delivery rate per supplier |
| 7 | How often fridges fail, per fridge per year, in small shops | Temperature logs three times a day, flagging readings outside the safe range |
| 8 | How well spoken add-on-selling prompts work in cafés | Logging how often checkout add-on offers are accepted |
| 9 | Sales effect of using coffee smell to attract customers and labeling roast dates | Sampling and aroma checks, plus sales notes |
| 10 | Money recovered from end-of-day dessert bundles | End-of-day bundle log |
| 11 | Eye-level sales boost for display cases specifically (the '+35%' claim is untraceable) | Log of placement changes and when items sell out |
| 12 | Whether checking dates several times a day reduces expiry problems, compared with checking once a day | Logs of date checks at different times of day |
| 13 | India-specific (FSSAI) rates for any type of failure | Any multi-outlet operator running these logs in India |
| 14 | UK rates for each type of violation, for cafés | Self-audit logs to prepare for environmental health officer (EHO) inspections |