Coke Buddy for HCCB API integration and OpenData delivery

1) Retailer identity and authorized session bridge

Business context: a distributor dashboard needs stable retailer-level data access without forcing operations staff to manually check multiple interfaces. We model login, token refresh, and session validation so your backend can call authorized workflows safely.

Concrete capability: create a retailer session service with OTP/login chaining, device-bound session metadata, and controlled token renewal. Practical use: scheduled pulls of order history by outlet every morning for reconciliation and route planning.

2) Order history API and reorder intelligence feed

Business context: sales managers need visibility into repeat purchase patterns and missed reorder windows. We expose order headers, line items, quantities, and timestamps to support demand analysis.

Concrete capability: date-range order query with pagination and normalized SKU mapping. Practical use: generate weekly reorder alerts and compare planned vs actual order cycles by territory.

3) Scheme, discount, and invoice-estimate sync

Business context: finance and trade marketing teams need a single source for scheme performance, realized discounts, and pre-invoice visibility. We transform promotion and pricing context into an integration-friendly data model.

Concrete capability: pull ongoing schemes and discount fields tied to orders. Practical use: margin verification reports and campaign ROI measurement without manual spreadsheet consolidation.

4) Catalog and voice-search discoverability layer

Business context: field teams often need quick top-seller lookup and product discovery context before visits. We extract structured catalog entities, filters, and popularity indicators from user-facing flows.

Concrete capability: searchable SKU metadata endpoint and top-selling product views. Practical use: pre-visit assortment planning and territory-level assortment gap analysis.

5) Fulfillment tracking and event notifications

Business context: operations wants proactive handling of delayed or partial fulfillment. We convert order status and notification events into webhook-ready integration outputs.

Concrete capability: order lifecycle status endpoint plus event dispatcher. Practical use: automatic alerts to distributor CRM when status stalls, reducing missed follow-ups and call-center load.

Scenario A: Daily distributor reconciliation

Context: finance closes require verified order totals and discount capture by outlet. Data/API: pull date-bounded order history plus invoice-estimate and discount fields. OpenData mapping: standardized transaction-like records support downstream accounting pipelines and exception reporting.

Scenario B: Territory-level demand planning

Context: sales teams need early visibility of reorder intent and top-selling SKUs. Data/API: recommendation signals, repeat basket patterns, and catalog entities. OpenData mapping: behavior-derived demand indicators become machine-readable planning inputs for replenishment logic.

Scenario C: Scheme governance and promo ROI

Context: trade promotions are expensive and need measurable outcomes. Data/API: scheme metadata, offer eligibility, order-level redemption outcomes. OpenData mapping: promotion exposure and conversion events can be joined with revenue records for campaign governance.

Scenario D: Order-status operations automation

Context: support teams react late when tracking events are not centralized. Data/API: status progression events and notification streams. OpenData mapping: event-driven status feeds support alerts, escalation SLAs, and omnichannel retailer communications.

Scenario E: Multi-app wholesale intelligence

Context: merchants and distributors often use multiple B2B ordering platforms. Data/API: normalized Coke Buddy order exports joined with other wholesale app feeds. OpenData mapping: cross-platform datasets allow unified performance dashboards and credit/risk monitoring for channel partners.

Auth/session orchestration

POST /api/v1/cokebuddy/auth/session
Content-Type: application/json

{
  "phone": "+91XXXXXXXXXX",
  "otp_code": "483921",
  "client_app": "android",
  "consent_ref": "consent_2026_04_14_001"
}

200 OK
{
  "session_id": "sess_89f...",
  "access_token": "eyJ...",
  "expires_in": 3600,
  "retailer_outlet_id": "OUTLET_28731"
}

Error handling pattern: return `401` for expired OTP/session, `429` for rate limits, and `423` when account requires additional verification.

Order history and margin export

POST /api/v1/cokebuddy/orders/query
Authorization: Bearer <ACCESS_TOKEN>
Content-Type: application/json

{
  "outlet_id": "OUTLET_28731",
  "from_date": "2026-03-01",
  "to_date": "2026-03-31",
  "page": 1,
  "page_size": 50,
  "include": ["items","discounts","margin","invoice_estimate"]
}

200 OK
{
  "orders": [
    {
      "order_id":"CB240331998",
      "status":"delivered",
      "total_estimated_invoice": 18240.50,
      "retail_margin_total": 742.10
    }
  ],
  "next_page": 2
}

This module supports long-tail keywords such as "retailer order history API integration" and "invoice estimate data sync for distributor ERP."

Status webhook fan-out

POST /api/v1/cokebuddy/webhooks/order-status
Content-Type: application/json
X-Signature: sha256=...

{
  "event":"order.status.updated",
  "order_id":"CB240331998",
  "old_status":"packed",
  "new_status":"in_transit",
  "event_time":"2026-04-14T09:12:07Z"
}

// Consumer-side retry policy (pseudo):
// - retry on 5xx with exponential backoff (max 5 attempts)
// - dead-letter after timeout threshold
// - persist idempotency_key to prevent duplicates

Concrete use: push status changes into CRM timelines and exception queues in near real time.

Compliance and privacy

For India-focused retailer integrations, we align implementation decisions with the Digital Personal Data Protection Act, 2023 (DPDP Act) principles such as purpose limitation, data minimization, and accountable processing. Where customer organizations operate globally, we also design optional controls that simplify mapping to GDPR-style retention and access governance.

In practice this means explicit consent references, role-based data exposure, secure token storage, audit logging, and retention windows tied to commercial need. We only build under authorized access models and documented customer approvals.

Data flow / architecture

• Client app/channel layer: Coke Buddy mobile/web/WhatsApp interactions generate retailer and order events.
• Ingestion & auth layer: authorized session bridge captures and normalizes structured records.
• Storage & processing: order, scheme, and invoice entities stored with versioned mapping for analytics.
• Output layer: APIs, exports, and webhooks feed ERP, BI dashboards, reconciliation, and alerting systems.

JioMart Partner

JioMart Partner serves kirana and small retail wholesale procurement flows. Teams that integrate both platforms often need unified order exports and supplier-wise purchasing analytics.

udaan: B2B for Retailers

Udaan captures wholesale ordering, business credit context, and delivery lifecycle records. Multi-platform users typically request consolidated transaction-style feeds for finance and credit monitoring.

Jumbotail

Jumbotail combines B2B ordering with supply chain and retailer operating workflows. Integration programs often map catalog and order entities across Jumbotail and beverage ordering apps to normalize SKU analytics.

PepHub

PepHub is used by PepsiCo trade partners for product ordering and offers. Organizations active across Coke and Pepsi ecosystems usually need parallel offer-performance and repeat-order comparison datasets.

Pep-Store

Pep-Store supports grocery and kiosk customers with product ordering and targeted offers. It appears in the same B2B beverage-retailer integration landscape where common exports simplify channel reporting.

eRetail - B2B Order & Payment

eRetail is oriented to distributor ordering and payment-linked workflows. Users of both eRetail and Coke Buddy frequently require shared reconciliation fields such as order values, discounts, and status timelines.

SalesJump Retailer App

SalesJump includes retailer ordering and status tracking with DMS/SFA connectivity. Integration teams use it as a benchmark when designing distributor-ready APIs and promotion analytics schemas.

Distributo

Distributo focuses on field-sales order capture and dispatch enablement. It is relevant for businesses that want to merge assisted-order and self-order datasets into one planning model.

Zump

Zump addresses closed-loop B2B ordering for small FMCG operations. Teams often compare adoption and reorder behavior between Zump-like ecosystems and branded beverage ordering platforms.

What we deliver

• Protocol analysis report with auth/session and core endpoint mapping.
• Runnable API source code (typical stacks: Python, Node.js, Go) for scoped modules.
• OpenAPI-style documentation with request/response fields and error contracts.
• Automated scripts for scheduled extraction and webhook/event handling.
• Test plan with happy-path and failure-path cases for integration QA.

About our studio

We are a technical service studio specializing in app interface integration and authorized API integration for global clients. Our engineers bring practical fintech and mobile experience across protocol analysis, interface refactoring, OpenData integrations, and third-party interface delivery.

Engagement model 1: source-code handover from $300, with documentation and practical test cases, paid after delivery review. Engagement model 2: usage-based hosted API access where you pay per call. Both models are designed for teams that need fast integration outcomes without unnecessary process overhead.

Workflow

1. Requirement intake: target app, business fields needed, and output format preferences.
2. Protocol and data model design: identify entities, auth boundaries, and extraction schedule.
3. Build phase: implement module APIs, retries, and validation with realistic sample payloads.
4. QA and delivery: run test plan, ship docs and source code, and support integration handoff.
5. Optional managed operation: switch to pay-per-call hosted endpoint operations.

FAQ

What do you need to start?
App name, required business outputs (for example order export and scheme analytics), expected refresh frequency, and your preferred delivery model.

Can you support cross-platform needs?
Yes. We regularly handle Android and iOS aligned integrations with backend normalization so downstream teams use one stable API contract.

Do you claim unofficial partnerships?
No. We focus on authorized, compliant integration implementation and clear technical documentation, avoiding unsupported claims.