A compiled reference of 26 verified statistics on planogram and shelf compliance: the current measured compliance benchmarks (2025-2026), what non-compliance costs in sales, the shelf-availability research that connects compliance to out-of-stocks, manufacturer-side execution data, and peer-reviewed field evidence. Every figure is drawn from a named public source (IHL Group, Coresight Research, POPAI, the Promotion Optimization Institute, Wharton, PLOS ONE) and independently checked before publishing. The page also documents, with full tracing trails, why the planogram statistics most articles cite cannot be verified.
Key statistics
6 highlights from this report
Key statistics
Key takeaways
Measured planogram compliance sits near 57%, non-compliance costs are rising, and the industry still checks the shelf mostly by hand. Meanwhile the statistics most articles cite trace back to a candy trade magazine that stopped publishing in 2012 and a study from 2000.
Planogram accuracy averages 57% across large US retailers; only 22% reach even 80%.
In-store inefficiencies cost 6.4% of gross sales, $196.4 billion a year, and rising.
The "7.8% sales / 8.1% profit" claim is from 2000, and the profit half never existed.
A 10% change in planogram compliance moves out-of-stocks by 1%.
A quarter of out-of-stocks are products in the store but not on the shelf.
81% of consumer goods companies still verify compliance manually or semi-manually.
How we built this report
Every figure was compiled in August 2026 from named public sources, and every famous recycled claim was traced to its most-original surviving document before deciding whether it could appear here.
- Current measurements first
The 2025-2026 sources (IHL Group's 200-retailer study, Coresight's 200-decision-maker survey, POI's 146-manufacturer survey) carry the headline numbers; legacy studies appear with their years stated.
- Sponsors disclosed
Several current studies are vendor-sponsored (Brain Corp, Simbe Robotics). We name the sponsor wherever the figure appears.
- Provenance audit
The four most-recycled planogram claims were traced hop by hop; the trails are published below, including the ones that end at dead websites and nonexistent organizations.
- Independent review
Written by one co-founder, reviewed by the other before publishing.
Scope caveat: no public study measures objectively-audited, facing-level planogram compliance at scale. The 57% benchmark is executive-reported; the display-level studies measure secondary displays, not full shelf sets. We state which kind of measurement each figure is, and the gap itself is documented below.
The measured shelf, 2025
Executives representing 200+ of the largest US retailers; IHL Group with Brain CorpPlanogram and shelf compliance, by the numbers
26 verified figures in five themes, then the provenance audit of the claims that failed.
The current benchmarks (2025-2026)
According to IHL Group's 2025 Shelf Intelligence research with Brain Corp (ihlservices.com), surveying executives representing 200+ of the largest and fastest-growing US retailers across grocery, drug, hard goods, and department stores, planogram accuracy averages 57%, and the relationship consequences land weekly: 67% of major retailers report daily or weekly friction with consumer brands over inventory inaccuracy. Brain Corp sells shelf-scanning robots; the sponsorship is disclosed here because we verified the study rather than the marketing.
Statistic 1
On-shelf availability averages 58%, planogram accuracy 57%, and promotional compliance 60% across surveyed large US retailers; only 22% reach 80% accuracy in any area.
IHL Group Shelf Intelligence Report with Brain Corp (2025)
Statistic 2
67% of major US retailers report daily or weekly relationship challenges with consumer brands due to inventory inaccuracy; retailers over $5B in revenue are 87% more likely to name strained brand relationships as a major consequence.
IHL Group / Brain Corp (2025)
Statistic 3
Retailers with promotional compliance above 70% are 17x more likely to achieve higher on-shelf availability.
IHL Group / Brain Corp (2025)
Statistic 4
88% of retailers want inventory checked weekly or more often; nearly half want multiple checks per week or daily.
IHL Group / Brain Corp (2025)
Statistic 5
89% of retailers believe shelf data can generate new revenue, and 76% say brands will only pay for it if accuracy is high; 72% are ready to deploy in-store robots.
IHL Group / Brain Corp (2025)
What this means: the modern benchmark is measured, current, and grim: roughly six shelves in ten look the way the plan says. Everything below explains what that costs and why it persists.
What non-compliance costs
According to Coresight Research (coresightresearch.com), whose 2026 survey with Simbe Robotics and RELEX covered 200 US retail decision-makers at companies over $100 million in revenue, in-store inefficiencies now cost retailers 6.4% of gross sales annually, about $196.4 billion, and the share has risen every year measured: 4.5% in 2024, 5.5% in 2025, 6.4% in 2026.
Statistic 6
In-store inefficiencies cost US retailers 6.4% of gross sales annually, roughly $196.4 billion, up from 5.5% in 2025 and 4.5% in 2024.
Coresight Research with Simbe Robotics (2026)
Statistic 7
Only 33% of retailers are investing in shelf digitization, the lowest share of any store intelligence technology, even as 97% deploy or plan store intelligence tech within a year.
Coresight Research with Simbe Robotics (2026)
Statistic 8
Global inventory distortion reached $1.7 trillion in 2026 (6.2% of global retail sales, down from 10.4% in 2021); empty shelves are the single largest cause at $690.9 billion.
IHL Group Inventory Distortion Study (2026)
Statistic 9
Hershey's Gold Standard planogram program delivered more than $287 million in incremental category growth at 18+ North American retailers, averaging a 19% dollar and 5.2% unit increase year over year.
The Hershey Company (2024)
Statistic 10
The planogram-compliance segment of the in-store analytics market was estimated at $532.2 million in 2022, forecast to reach $1.65 billion by 2030 (13.6% CAGR); a market model, labeled as such.
Grand View Research market model (2023)
What this means: the cost line is going the wrong way while investment goes to everything except the shelf. The one verified modern success story (Hershey) is what full compliance is worth when someone actually maintains it.
Compliance and the empty shelf
The canonical shelf-availability research, by Thomas Gruen and Daniel Corsten and published by GMA, FMI, and NACDS (nacds.org), quantified the compliance-to-availability link directly: a 10% change in planogram compliance produced a 1% change in out-of-stock levels, against an industry-average out-of-stock rate of 8.3%.
Statistic 11
A 10% change in planogram compliance resulted in a 1% change in the level of out-of-stocks; raising a category from 60% to 90% compliance opens a three-point OOS reduction.
Gruen & Corsten, GMA/FMI/NACDS out-of-stock research (2008)
Statistic 12
25% of out-of-stocks are products physically in the store but not on the shelf; store ordering and forecasting cause 47%, upstream causes 28%.
Gruen, Corsten & Bharadwaj (2002), via the GMA/FMI/NACDS guide
Statistic 13
Simple adherence to three shelf practices (covering holes, hiding product, shelf-tag accuracy) cut out-of-stocks by about 40%; most retailers had the policies but did not enforce them.
Gruen & Corsten, GMA/FMI/NACDS out-of-stock research (2008)
Statistic 14
When shoppers hit an out-of-stock, 31% buy the item at another store, 26% substitute a different brand, and 9% do not purchase at all; OOS costs manufacturers ~35% and retailers ~40% of intended sales.
Gruen & Corsten, 72,000-shopper research via GMA/FMI/NACDS (2002-2008)
Statistic 15
78% of retailers deal with inventory inaccuracies on a weekly or monthly basis; 70% are trapped in weekly firefighting cycles around basic inventory accuracy.
IHL Group execution research (2025-2026)
What this means: the empty shelf is substantially a compliance artifact: a quarter of out-of-stocks are stocking failures, and enforcement of rules retailers already have cuts OOS by 40%. The lever is verification, not policy.
The manufacturer side
According to the Promotion Optimization Institute (poinstitute.com), whose 2026 State of the Industry report surveyed 146 consumer goods manufacturers, 81% still rely on manual or semi-manual compliance processes, and the constraint has moved from awareness to instrumentation.
Statistic 16
81% of consumer goods organizations rely on manual or semi-manual compliance processes, limiting speed and scalability.
Promotion Optimization Institute, 146 manufacturers (2026)
Statistic 17
75% of companies are constrained in retail execution by insufficient digital and connected offline capabilities; 53% say data is not leveraged at the point of decision.
Promotion Optimization Institute (2026)
Statistic 18
Fixed cameras are deployed by 44% of retailers (18% more planning within 12 months); smartphones and handhelds for shelf auditing by 38% (30% more planning); computer vision adoption in retail is projected to grow 8,143% over two years.
IHL Group Shelf Intelligence research (2025)
Statistic 19
Profit-leading retailers are 118% more likely to identify planogram compliance as a key shelf-intelligence benefit; expected benefits include customer satisfaction (57%) and reduced labor costs (55%).
IHL Group with Scandit, 400+ retailers (2025)
What this means: the industry knows the answer is continuous visual observation of the shelf; adoption numbers say the shift is happening now, from an 81%-manual baseline.
Peer-reviewed field evidence
Academic operations research measured shelf execution from the shopper's side long before shelf cameras existed, and the newest field experiment in the space, published in PLOS ONE (journals.plos.org) in 2026, is still uncited by any vendor.
Statistic 20
19% of customers wanted to buy a product but found it too high or too deep on the shelf to reach; 15% had difficulty finding a product's price.
Fisher, Krishnan & Netessine, Wharton retail-execution study, 500+ stores (2006)
Statistic 21
Estimated in-stock averaged 93%, yet only 76% of customers found everything they were looking for; the gap is the shelf, not the stockroom.
Fisher, Krishnan & Netessine, Wharton (2006)
Statistic 22
Removing mid-aisle merchandise fixtures raised audited categories' weekly sales contribution 11.5% relative (4.33% to 4.83%) despite less merchandise on display; 9 of 11 categories rose.
Streicher, PLOS ONE 12-week scanner-based field experiment (2026)
Statistic 23
A 2024 embedded planogram-compliance vision system reported F1 scores around 0.997 for shelf object detection and around 0.927 for compliance control.
Yücel, Topaloğlu & Ünsalan, arXiv / Journal of Real-Time Image Processing (2024)
What this means: execution quality is measurable from photographs at research-grade accuracy, and the sales effects of shelf conditions are real, causal, and larger than most planogram software marketing claims, just different ones.
The famous claims, traced
Four numbers dominate every planogram article ever written. We traced each chain to its end. This section exists so the record is public; none of these figures appears as a statistic anywhere above.
Tracing "planogram compliance lifts sales 7.8% and profits 8.1%"
Dozens of retail-tech blogs attribute the pair to "a NARMS benchmark study," usually with no year.
The academic planogram-vision literature cites "7.8% in two weeks" to a 2009 article in Professional Candy Buyer, a trade magazine that ceased publishing at the end of 2012. The article survives nowhere online.
The National Association for Retail Merchandising Services released the research at its spring conference. The contemporaneous trade-press record (Supermarket News, May 8, 2000) says merchandising services produced "category sales increases of about 8%", planograms implemented five times faster, and new items cut in three times faster. No 7.8% precision. No profit figure of any kind.
Report as "about 8% category sales increase, NARMS, 2000." The 8.1% profit half of the claim has no surviving source and appears to have been invented in transit.
"Typical planogram compliance is around 60-70%."
Traces to the same dead magazine. The academic chain cites the 2009 Professional Candy Buyer article for "around 70% compliance is observed in stores." The magazine is gone, the article is unretrievable, and the figure is 17 years old. The verified modern replacement is IHL's measured 57% (2025).
"Planograms go out of compliance at 10% per week."
Attributed to an organization that does not exist. Vendors cite "The National Association of Retail Marketing," apparently a garbling of NARMS. No primary document exists in any chain. No public study measures a planogram decay curve at all; that missing number is the most valuable unmeasured statistic in the category.
"Only 4% of promotions are executed completely and accurately" / "50% of displays are late or never set up."
A two-hop chain ending at a dead website. Blog cites blog, which credits a 2008 In-Store Implementation Network working paper hosted on a site that no longer resolves. Until someone recovers the original, the claims are unverifiable and we do not repeat them.
"57.4% of retailers have a system to measure planogram compliance, per Cognizant."
No such Cognizant document found. Single-decimal precision, no report name, no year, repeated across vendor sites. Suspiciously specific and completely untraceable. Do not cite.
One honest credit: shelf-scanning vendor ShelfOptix independently notes that no public study measures objectively-audited, facing-level compliance at scale, matching our conclusion. The category's foundational numbers are folklore; the measured 2025-2026 data above is what can actually be defended.
Cite this study
Academic or press use: copy a ready-made reference. RapidEye is the publisher.
Quick FAQ
What is the average planogram compliance rate?
57%, per the 2025 IHL Group Shelf Intelligence Report with Brain Corp, surveying executives representing 200+ of the largest US retailers. On-shelf availability averaged 58% and promotional compliance 60%; only 22% of retailers reach 80% accuracy in any of the three. The older "60-70%" figures trace to a 2009 candy trade magazine that no longer exists.
Does planogram compliance really lift sales 7.8%?
The claim traces to NARMS research from May 2000, whose contemporaneous record says "about 8%" category sales increase, with no 7.8% precision and no profit figure at all. The verifiable modern equivalent: Hershey's maintained Gold Standard planogram averaged a 19% category dollar increase across 18+ retailers, and Gruen and Corsten found a 10% compliance change moves out-of-stocks 1%.
How fast do planograms decay out of compliance?
Nobody knows publicly. The circulating "10% per week" is attributed to an organization that does not exist, and no public study has measured a compliance decay curve. It is the most valuable unmeasured number in retail execution.
What share of out-of-stocks are caused by shelf execution rather than supply?
About 25%: products physically in the store but not on the shelf, per Gruen, Corsten and Bharadwaj's research published by GMA, FMI and NACDS. Store ordering and forecasting cause another 47%; only 28% originates upstream.
Data sources
Every figure traces to one of these named public sources, each checked against the original before publishing; sponsored studies are marked by naming the sponsor inline where their figures appear.
IHL GroupShelf intelligence and inventory distortion research, 2025-2026ihlservices.com
Brain CorpCo-sponsor and publisher of the 2025 shelf intelligence studybraincorp.com
Coresight ResearchIn-store inefficiency survey of 200 US retail decision-makers, 2026coresightresearch.com
Promotion Optimization InstituteState of the Industry manufacturer surveys, 2025-2026poinstitute.com
GMA / FMI / NACDSThe Gruen & Corsten out-of-stock reduction researchnacds.org
POPAI / Supermarket NewsCompliance studies and the contemporaneous NARMS 2000 recordpopai.co.uk
The Wharton SchoolRetail store execution empirical studywharton.upenn.edu
The Hershey CompanyGold Standard planogram in-market resultsthehersheycompany.com