Amazon ditches 'just walk out' checkouts at its grocery stores

Human labor behind “Just Walk Out” and the AI hype gap

• Many commenters latch onto reports that >1,000 workers in India were watching/labeling video; some interpret this as effectively off‑site cashiers, others as training/validation for ML models.
• A cited figure of “700 of 1,000 sales needing human review” is seen as evidence it never technically or economically scaled; Amazon is said to dispute that number but offers no alternative.
• This becomes a broader example of “Mechanical Turk” / “wizard‑of‑oz” AI: impressive demos fronting large amounts of low‑paid remote labor (parallels drawn to self‑driving oversight, delivery robots, LLM data labeling, receipt scanning, “AI” chatbots).
• Several see this as evidence current “AI” is overhyped, especially where the company—not the user—must bear the cost of errors.

Technical and economic constraints

• Computer vision for dense, cluttered, occluded grocery environments is described as extremely hard and expensive: cameras, compute, annotation, constant retraining as packaging changes, and tricky categories like produce/by‑weight items.
• Some with CV/retail experience claim there’s “no financially feasible way” to run full JWO at grocery margins today.
• RFID is widely praised (Uniqlo, Decathlon, libraries), but commenters stress tag cost vs grocery margins, form‑factor diversity, reliability issues, and supply‑chain coordination.

Alternatives: scan‑as‑you‑shop and self‑checkout

• Scan‑as‑you‑shop (handheld scanners or phone apps) is common in parts of Europe and some US chains; fans like bag‑as‑you‑go and skipping lines, critics dislike cognitive load, forgotten scans, and random recheck audits.
• Self‑checkout experiences vary dramatically: some report fast, frictionless lanes; others face constant weight‑sensor errors, age checks, and long waits for attendants.
• Debate over whether humans are still faster and whether stores intentionally understaff manned lanes to push self‑checkout.
• Loyalty programs and “digital coupons” are seen as price discrimination and data‑collection tools, sometimes required to use advanced checkout features.

Privacy, surveillance, and pricing

• High‑res in‑store cameras are viewed by some as creepier than existing POS data (e.g., potential to read phone screens, tailor prices in real time).
• Others argue stores already have “perfect” purchase histories via barcodes and loyalty cards, citing past retail analytics cases.

Customer experience, labor, and norms

• Some loved Amazon Go’s speed and lack of queues and are disappointed; others are “glad it’s gone” due to hidden labor and surveillance.
• Strong theme that self‑checkout and schemes like JWO mainly cut labor costs and shift work and liability onto customers, without lowering prices.
• Broader lament that grocery and many other industries have traded service quality for cost‑cutting and profit maximization.