Scope note. This case study spans The Coca-Cola Company and independent bottler accounts; retailer references are reported at banner level from platform destination data. Corrections: research@qrstuff.com.
The context
The Coca-Cola Company sells in more than 200 countries through "the Coca-Cola system" — the company plus its network of independent bottling partners — into tens of millions of retail outlets. At that scale, the competitive battle is not fought in advertising but at the fixture: whether the right products, in the right order, at the right facings, are actually on the shelf of store #4376. Coca-Cola's own discipline for this is famous in the trade — Right Execution Daily (RED), one of CPG's most sophisticated "perfect store" programmes — and the industry literature is blunt about the weakest link: the last mile between a planogram approved at headquarters and a shelf that matches it, in every store, after every reset.
The traditional failure mode is well documented. Planograms travel as PDFs attached to emails or buried in portals; the rep or merchandiser executing a 6 a.m. reset works from a printout that may already be superseded; and store-specific versions — Coca-Cola pioneered store-level planogram automation as far back as the late 2000s, generating store-specific shelf plans for thousands of grocery stores — multiply the document-distribution problem by the size of the store estate.
That is the problem visible, solved, in this account cluster: put a QR code on the fixture paperwork, and the diagram for this store, this fixture, this reset is one scan away — always the current version.
The QR strategy
Platform data shows at least eight active Coca-Cola system accounts, opened between 2017 and 2025, operated by different teams solving the same problem with the same data type — which is itself the finding. This is not one campaign but a solution pattern that has spread across the organisation: corporate merchandising teams in the US, a team in Australia, a globally focused team registered in India, and independent US bottlers. The estate divides into three patterns, all platform-measured:
1. Store-level planogram libraries for major retail partners. The largest account is built around one named code per store of a national US drugstore chain — codes named for individual CVS store numbers, twelve codes per store, each resolving to PDF and multi-PDF planogram sets. It created 82,414 codes in a single month (January 2022) — a chain-wide deployment in one burst — and has since been refreshed at scale, with roughly 27,900 new codes created in December 2025 alone. A parallel account holds store-numbered planograms for grocery and mass retail — "Store 4376 – CSD – Gondola", "Warehouse fixture", cooler assortment recommendations — with store names referencing bottler territories (Reyes, United) and Latin American banners (Paiz in Central America, Carulla in Colombia). Walmart-related planogram work sits within this relationship per the account teams; retailer naming requires their sign-off. Taken together, the corporate accounts recorded scans on every day of 2025 — the drugstore planogram account alone was active 362 days of the year — a workforce cadence, not a consumer one.
2. Custom landing pages for channel merchandising standards. A separate corporate account holds just 284 codes — but they are form-submission codes (QRStuff-hosted custom landing pages) encoding Coca-Cola's channel "picture of success" library: cooler and shelf standards by channel (Campus, Healthcare), tier (Value / Mainstream / Premium), pour rights, and fixture type. These 284 pages have taken ~48,600 scans — roughly 170 scans per code — and scan continuously, peaking with the spring and autumn reset seasons.
3. Bottler self-service. Independent bottlers run their own smaller estates on the same pattern — one since 2017 (the system's earliest adopter on the platform), and one regional bottler whose 40-odd codes have logged ~25,700 scans (over 600 per code) at a steady 400–600 a month for four years: a small, permanent piece of field infrastructure.
Across all three patterns the content type is the tell: this estate is overwhelmingly PDF-class codes — documents, not links. The QR code is being used as a document-distribution system for the field, with the scan replacing the email attachment, the binder, and the portal login at the moment of execution.
The numbers
~285,000 codes, daily scanning throughout 2025, and a spring reset surge every April. The operational rhythm of a retail execution programme, not a consumer campaign.
- An operational scan profile: these are utility scans by field teams, not consumer impressions — and the platform benchmarks make the engagement remarkable in context. The median ever-scanned PDF code platform-wide earns 3 scans in its first year (p90: 46). Coca-Cola's custom landing pages average ~170 scans per code — 28x the form-submission median of 6 — and the bottler's field codes exceed 600, because the same rep returns to the same code across every visit and reset cycle.
- Evergreen by design: platform-wide, PDF codes are 2.2x more likely than image codes to become evergreen workhorses, and evergreen codes (30.6% of the scanned population) earn 74% of all first-year scans. A planogram code attached to a store fixture is structurally evergreen — the data here shows accounts still scanning daily on codes years old.
- Seasonal signature: scan volume on the planogram accounts surges in the reset windows. April 2025 was the year's peak month, recording approximately 4,400 scans across identified corporate accounts — more than double the December trough — consistent with the spring reset season. The weekday pattern matches the platform-wide finding (weekdays run 17.3% above weekends): a workforce cadence, not a consumer one.
- Creation in bursts, usage in steady state: single-month creation spikes of 82,414 (Jan 2022) and 50,302 codes (Jul 2022, the Australian account) mark chain-wide rollouts; the years between show continuous daily scanning. December 2025 saw roughly 27,900 new codes on the drugstore account — demonstrating the programme being re-upped at scale four years in — and active estate hygiene (tens of thousands of superseded codes deleted) shows it is managed, not abandoned.
- System breadth: eight accounts, three registration countries, store references across North America, Central and South America, and Asia-Pacific — adoption that spread organisationally, team by team, between 2017 and 2025.
What this tells the industry
The most instructive thing about Coca-Cola's QR estate is what it is not. There are no consumer campaigns here, no packaging codes, no sweepstakes — the world's most famous consumer brand uses this platform almost entirely behind the shelf. QR's deepest enterprise value, on this evidence, is as the connective tissue of retail execution: the cheapest possible bridge between a field worker standing at a fixture and the exact, current document that tells them what that fixture should look like.
For CPG leaders, the pattern generalises directly. Every "perfect store" programme ultimately fails or succeeds at the last mile, where strategy meets a rep with fifteen minutes and a stack of paperwork. A store-specific dynamic QR code collapses that last mile: the document is always current (planograms behind the code can be replaced without re-issuing anything in the field), always store-specific, and every scan is a timestamped signal that execution materials were actually consulted — a compliance telemetry layer that emailed PDFs can never provide. The multi-account, multi-team adoption pattern is the second lesson: infrastructure spreads inside an enterprise when each team can self-serve, and the bottler accounts show the model crossing company boundaries within the wider system.
Looking ahead
Retail execution is converging with the broader 2D-barcode shift. As GS1's Sunrise 2027 transition puts QR-class codes on packaging and point-of-sale systems worldwide, the scanning habit Coca-Cola has built into its field operations becomes the front end for richer tooling: planogram codes that open image-recognition compliance checks rather than static PDFs, landing pages that capture reset confirmations and shelf photos, and AI-generated store-specific standards published to the field the moment they are approved. The custom landing-page estate — already interactive, already form-capable — is the natural beachhead. The companies that taught their field force to scan for documents will find it a short step to scanning for verification, and Coca-Cola's five-year daily scan log suggests that habit is already fully formed.
Retail execution is converging with the broader 2D-barcode shift. As GS1's Sunrise 2027 transition puts QR-class codes on packaging and point-of-sale systems worldwide, the scanning habit Coca-Cola has built into its field operations becomes the front end for richer tooling: planogram codes that open image-recognition compliance checks rather than static PDFs, landing pages that capture reset confirmations and shelf photos, and AI-generated store-specific standards published to the field the moment they are approved. The custom landing-page estate — already interactive, already form-capable — is the natural beachhead. The companies that taught their field force to scan for documents will find it a short step to scanning for verification, and Coca-Cola's five-year daily scan log suggests that habit is already fully formed.