174 lines
10 KiB
Markdown
174 lines
10 KiB
Markdown
**English** | [Русский](../docs.ru/case-coca-cola-on-dle.md)
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# Case: Coca-Cola on the DLE operating system
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## Essence
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Coca-Cola is a physical product. 200+ countries, 65,900 employees, a network of independent bottler franchisees, $47.9 billion revenue (2025). Advertising — $5.4 billion/year. SG&A — $14.5 billion/year.
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Business model: sell concentrate (syrup) to bottlers → bottlers produce, fill, deliver → retail sells to the end customer.
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What changes if every bottle is a token? If the bottler contract is a smart contract? If the buyer pays with a token, not through a bank?
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Same business model. Same product. Same price. What changes is the infrastructure for accounting, settlements, quality control, and partner relationships.
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---
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## 1. Supply chain: from concentrate to shelf
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### Traditional model (Coca-Cola today)
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```
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Coca-Cola Company (concentrate)
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↓ syrup sale
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Bottler franchisee (200+ partners in 200+ countries)
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↓ production, filling, packaging
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Distributors and wholesalers
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↓ logistics
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Retail (stores, restaurants, vending)
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↓ sale
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Buyer
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```
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Each stage is a separate contract, separate accounting, separate bookkeeping. Quality control — sampling checks. Counterfeiting is a real problem (fake plants in Mexico and elsewhere).
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### On the DLE operating system
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```
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Coca-Cola Company (concentrate + brand smart contract)
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↓ on-chain transaction: syrup lot = token
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Bottler (franchisee smart contract, connected to the production line)
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↓ each bottle = product passport token (composition, date, line, lot)
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Distributor (transaction: transfer of passport tokens)
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↓ movement tracked on-chain
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Retail (receives tokens, scans at sale)
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↓ payment with token or stablecoin
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Buyer (can verify authenticity by token)
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```
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Each stage is an on-chain transaction. Accounting is automatic. Counterfeiting is excluded: no token = no authentic product.
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---
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## 2. Production accounting and counterfeits
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| Parameter | Coca-Cola today | On DLE |
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|----------|-----------------|--------|
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| Produced goods accounting | ERP at each plant. SAP, Oracle — licenses millions $/year | Smart contract connected to the production line. Each bottle = token with data: date, line, lot, composition |
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| Barcode / QR | Identifies SKU (product type), not a specific bottle | Token identifies a specific product unit |
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| Counterfeits | Fake plants, bottle refills, forged labels. Losses unknown but material | Impossible: no on-chain token = counterfeit. Buyer verifies in a second |
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| Lot recall | Trace via document chain, days–weeks | Instant: token linked to lot, line, date. All bottles of the lot are on-chain |
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| Shelf life | On the label. Control depends on retail | In the token. Smart contract can auto-deactivate expired tokens |
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| Plant audit | Sampling checks, inspectors, reports | All data on-chain in real time. Audit — automatic |
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---
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## 3. Bottler relationships: 200+ franchisees in 200+ countries
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| Parameter | Coca-Cola today | On DLE |
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|----------|-----------------|--------|
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| Bottler contract | Individual agreement, lawyers, months of negotiation | Franchisee smart contract: terms, territory, volumes, rates — in code |
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| Volume control | Bottler reports, reconciliations, audits | Automatic: each produced unit = token. Volume = token count |
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| Settlements with bottlers | Bank wires, invoices, reconciliation, FX across 200+ countries | Stablecoin transactions via smart contract. No banks, no FX conversion |
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| Royalties / concentrate payment | Monthly payments, accounting, reconciliations | Automatic deduction from each sale via smart contract |
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| Disputes | Arbitration, courts, lawyers | Terms in the contract, automatic execution |
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| Transparency | Coca-Cola sees bottler reports. Bottlers see only their data | All participants see their transactions on-chain. Coca-Cola sees the full chain |
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The **5 largest bottlers** (Coca-Cola FEMSA, CCEP, CCHBC, Arca Continental, Swire) = 44% of global volume. On DLE their contracts are 5 smart contracts instead of thousands of pages of legal documents.
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---
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## 4. Settlements: $47.9B revenue via banks vs blockchain
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| Parameter | Banking infrastructure | Blockchain |
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|----------|--------------------------|----------|
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| Transaction fees (B2B, bottlers) | Wire fees: $15–$50 per transaction, SWIFT, correspondent banks | $0.001–$0.10 per transaction |
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| FX conversion (200+ countries) | FX spread 1–3% per conversion. Coca-Cola 10-K: FX reduced revenue by 2% = ~$960M | Settlements in stablecoins (USDT/USDC). No FX risk |
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| Settlement time | International transfer: 1–5 business days | Seconds |
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| Reconciliation | Thousands of counterparties, dozens of currencies, monthly reconciliation — large teams | Not needed — on-chain data matches automatically |
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| Bank accounts | Hundreds of accounts in dozens of countries, per legal entity | Smart contract wallets. No bank dependency |
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**FX impact (from 10-K):** in 2025, FX moves reduced Coca-Cola revenue by 2% (~$960M). In stablecoins that risk disappears.
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---
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## 5. Governance and transparency
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| Parameter | Coca-Cola today | On DLE |
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|----------|-----------------|--------|
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| Corporate governance | Board, proxy voting, annual shareholder meeting | On-chain voting: 1 token = 1 vote. Result on the blockchain |
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| Shares | NYSE: KO. 4.3B shares. Trading via exchange, brokers, T+1 settlement | Governance tokens. Transfer — instant, no intermediaries |
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| Dividends | Quarterly, via depositories, brokers, banks | Automatic distribution from the smart contract treasury |
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| Reporting | 10-K, 10-Q, SEC filings. Built by accounting and audit teams | All transactions on-chain. Reporting generated automatically |
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| SG&A | $14.5B/year (2025) | A material share of SG&A — accounting, reconciliations, legal — is automated by smart contracts |
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| Audit | Deloitte / PwC / EY / KPMG — millions $/year | Blockchain = immutable audit. Automatic, free |
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---
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## 6. Customer data: Coca-Cola’s black hole
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Coca-Cola sells 2.2 billion servings a day. And does not know a single buyer by name.
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| Parameter | Coca-Cola today | On DLE |
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|----------|-----------------|--------|
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| Buyer contacts | None. Data sits with retailers (Walmart, Carrefour, 7-Eleven). Coca-Cola does not know who bought the bottle | Buyer receives a product passport token. On optional registration — contact enters company CRM |
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| Purchase history | None. Coca-Cola sees shipments to bottlers, not end sales | Each purchase = on-chain transaction. Full history: what, when, where, how often |
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| Interaction history | No direct buyer channel. Feedback via social media and hotlines | Built-in CRM: chat, email, Telegram bot. Full negotiation and ticket history in one place |
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| Segmentation | Based on market research (Nielsen, Euromonitor) — millions $/year | Based on real purchase data from the blockchain. No research spend |
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| Loyalty programs | Separate apps, cards, points — per country, not linked | Buyer token: single program across 200+ countries, history on-chain |
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| Personalization | Practically impossible: Coca-Cola does not know the end buyer | With buyer consent — personalized offers from purchase history |
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| Research cost | Hundreds of millions $/year on market research and third-party data | Data collected automatically from transactions. Cost — 0 |
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**This is not mere “convenience.”** For an FMCG company, direct contact with billions of buyers is a strategic advantage no manufacturer has today. Data sits with retailers, and they do not share it.
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---
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## 7. Subscriptions that disappear
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Beyond banking costs, DLE replaces dozens of corporate products with paid subscriptions.
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| Product / subscription | What Coca-Cola pays today | On DLE |
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|--------------------|----------------------------|--------|
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| ERP (SAP, Oracle) | Licenses + implementation + support: $100M–$500M/year system-wide | Product accounting — from line tokens. Financial accounting — from on-chain transactions |
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| CRM (Salesforce and analogues) | Tens of millions $/year for licenses, implementation, integration | Built-in CRM: contacts, purchase history, negotiations — one contour |
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| Marketing data (Nielsen, Euromonitor, IRI) | Hundreds of millions $/year on market research | Real data from blockchain transactions — free |
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| Warehouse accounting (WMS) | Separate system per warehouse / bottler | Passport-token movement = warehouse accounting |
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| Compliance and audit (Deloitte, PwC, EY, KPMG) | Millions $/year on external audit | Blockchain = automatic, immutable audit |
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| Reconciliation systems | Thousands of counterparties × dozens of currencies = huge teams | Not needed — on-chain transactions match automatically |
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| Loyalty programs (build, support) | Separate app per country, tens of millions $/year | Single tokenized program across 200+ countries |
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| Bottler communications (corporate portals, EDI) | Tens of millions $/year on corporate data exchange | All data on-chain, available to chain participants |
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**Coca-Cola SG&A = $14.5B/year.** A material share of that amount services the listed subscriptions and processes that DLE automates or replaces.
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---
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## 8. What does not change
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- Product: Coca-Cola, Fanta, Sprite and hundreds more brands
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- Production: bottler plants, filling lines
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- Logistics: trucks, warehouses, distribution
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- Retail: stores, restaurants, vending
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- Prices: the same
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- Advertising: $5.4B — remains
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**What changes:**
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- Each bottle gets a digital passport (token) — counterfeits excluded
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- Coca-Cola for the first time gets buyer contacts and purchase history directly
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- Settlements with 200+ bottlers via blockchain — no banks, no FX risk
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- Franchisee contracts — smart contracts instead of thousands of pages
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- Product accounting — automatic, from the production line
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- Buyer verifies authenticity in a second
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- FX losses ~$960M/year — disappear
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- Dozens of corporate subscriptions (ERP, CRM, WMS, audit, data, reconciliation) — replaced by the DLE operating system
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---
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## Additional materials
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- [Case: two paths to organize a business](case-traditional-vs-dle.md) — general comparison
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- [README.md](../README.md) — how to start
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---
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**Last updated:** 2026-03-26
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