Benchmark Report · 2026
State of Shelf Availability & Store Foot Traffic
What physical retail actually measures — and what it leaves on the shelf. A source-cited benchmark on out-of-stocks, foot traffic and conversion, and the retail measurement gap.
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Key numbers
The eight figures retailers quote
8.3%
Worldwide out-of-stock rate — ~8 of every 100 items a shopper seeks aren’t on the shelf.
Gruen, Corsten & Bharadwaj (GMA), 2002
$1.77T
Global inventory distortion in 2023 — out-of-stocks ($1.2T) plus overstocks ($562B).
IHL Group, 2023
~4%
Of sales lost to stock-outs — about $40M a year for a billion-dollar retailer.
Corsten & Gruen, HBR, 2004
31%
Of shoppers walk to a competitor when an item is missing; another 9% don’t buy at all.
GMA, 2002
~27%
Average in-store conversion, versus ~2–4% online — the physical visitor is worth far more.
Trakwell, 2024; Firework / Statista, 2025
7–10%
Of retailers use any video analytics — 90%+ still check shelves by hand.
ECR Retail Loss, 2024
4–8%
Sales uplift from correcting inventory-record accuracy, even off a strong baseline.
ECR Retail Loss
252%
More likely: sales-winning retailers vs laggards to deploy computer vision within 12 months.
IHL Group / Scandit, 2025–2026
What the data says
How bad is the shelf-availability problem?
The foundational worldwide study of retail out-of-stocks — Gruen, Corsten and Bharadwaj’s analysis of 71,000+ consumers across 29 countries (GMA, 2002) — found a global average out-of-stock rate of 8.3%, and the figure has barely moved in two decades. ECR Retail Loss reports an even higher ~8.6% across Europe. Promotional items run worse, reaching 15–20% during peak periods.
What do out-of-stocks actually cost?
IHL Group puts global inventory distortion — out-of-stocks plus overstocks — at $1.77 trillion in 2023, with out-of-stocks alone at $1.2 trillion. At retailer level, Corsten and Gruen found stock-outs cost about 4% of sales, roughly $40 million a year for a billion-dollar retailer. When an item is missing, ~31% of shoppers buy it elsewhere and ~9% don’t buy at all.
Why measure store foot traffic and conversion?
Brick-and-mortar conversion runs ~16–40% (about 27% average) versus ~2–4% online, so each store visitor is worth far more than an average web session — yet stores measure these visitors far less rigorously than websites measure theirs. Measuring footfall, capture rate and conversion turns that blind spot into staffing and merchandising decisions.
How many retailers actually measure the shelf?
Only ~7–10% of retailers use any form of video analytics (ECR Retail Loss, 2024); 90%+ still rely on manual store walks and periodic audits. Adoption is rising fast off a low base: sales-winning retailers are 252% more likely than laggards to plan a computer-vision deployment within 12 months (IHL/Scandit). Correcting inventory-record accuracy alone has produced 4–8% sales uplifts in controlled tests.
What good looks like — 2026
Defensible targets for a data-led retailer
- • On-shelf availability of 96–97% or better (out-of-stock rate ≤ 3–4%) — world-class performers run well below the ~8.3% global average.
- • Real-time, not periodic, shelf monitoring — close the gap between system stock and shelf truth with continuous sensing.
- • Promotional availability managed as its own target, given promotional out-of-stocks of 15–20%.
- • Measure conversion and capture rate, not just sales — even a 1–2 point conversion lift is material.
- • Build the business case on documented ROI ranges (4–8% from inventory-accuracy correction; ~5% availability gains), not hype.
The full report adds the methodology, all 30 sources, and a chart of how shoppers respond to a stock-out. See how this applies to grocery & FMCG → or model your own ROI →
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