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01Case study

Global Coffee Trading Marketplace

A domain-rich digital marketplace connecting coffee sellers, buyers, traders and supply-chain participants through structured listings, discovery, subscriptions and market reporting.

  • Next.js 15
  • React 19
  • TypeScript
  • MongoDB
  • Zoho CRM
  • Zoho Billing
  • Tailwind CSS
  • Chart.js
Global coffee trading marketplace with structured specialty lot listings
02Challenge

The problem

Coffee trading often runs through spreadsheets, email, phone calls and private relationships. Inconsistent descriptions make lots difficult to compare, pricing intelligence is fragmented, certificates are scattered and supply-chain participants lack one operational source of truth.

  • Standardize complex coffee descriptions without flattening domain detail
  • Give sellers access to a broader buyer network and clearer listing workflows
  • Make quality, origin, warehouse and pricing data searchable and comparable
  • Organize certifications, quality records and shipment documents
  • Coordinate onboarding, subscriptions, CRM, payments and reporting
  • Create a foundation for escrow, bidding, disputes and market intelligence
03Solution

How it was solved

The product modeled coffee as a first-class commodity domain rather than generic e-commerce inventory. A Next.js application combined resumable onboarding, subscription activation, detailed seller listings, live-data marketplace filters and reusable reporting, with MongoDB persistence and a Zoho operations layer.

04Evolution

Delivery path

  1. 01 · Account registration

    A new participant creates an account and begins a multi-step onboarding workflow that can be resumed.

  2. 02 · Contact verification

    Email and SMS verification establish reachable contact channels before commercial activation.

  3. 03 · Profile completion

    Company and stakeholder information is captured and synchronized with Zoho CRM.

  4. 04 · Subscription selection

    The participant chooses a plan, enters the billing flow and activates marketplace access.

  5. 05 · Coffee listing

    A guided, section-based form captures origin, quality, pricing, logistics and supporting documents.

  6. 06 · Marketplace publication

    Approved inventory becomes discoverable through structured commercial and quality filters.

  7. 07 · Market analysis

    Pricing history, summary tables, charts and exports provide a foundation for commodity intelligence.

05Architecture

Platform topology

Database connection caching supported serverless execution. External Zoho operations were separated into a dedicated service layer, while reusable form and reporting components kept domain-heavy interfaces maintainable.

Buyer / seller / operator portals
             │
             ▼
Next.js 15 + React 19 application
             │
             ▼
Next.js route handlers
    ├─ authentication + verification
    ├─ onboarding + profiles
    ├─ marketplace listings + filters
    ├─ subscriptions + payments
    └─ reporting + exports
             │
             ├─► MongoDB / Mongoose
             ├─► Zoho CRM + Zoho Billing
             ├─► Resend email + AWS SMS
             └─► payment libraries / future escrow path
06Product

Product surface

  • Marketplace discovery

    Search inventory by warehouse, origin, species, variety, quality, screen size, organic status, SCA grade and harvest year

  • Coffee details

    Origin, region, species, variety, process, harvest, organic status, SCA grade and elevation

  • Size & pricing

    Units, unit type and size, asking price, reserve price and minimum quantity

  • Logistics

    Warehouse, address, availability date, container ID and shipping responsibility

  • Documentation

    Certifications, quality records and shipment documents supported by a guided listing assistant

  • Commercial operations

    Onboarding, subscriptions, payment-page creation, CRM synchronization and reporting

07Engineering

Technical highlights

  • Authentic domain model

    Listings represented more than 20 coffee-specific attributes across origin, quality, commercial terms, logistics and documentation instead of reusing a generic product schema.

  • Live-data filtering

    Filter options were aggregated from current marketplace inventory, so newly listed origins and varieties became searchable without manual configuration. Numeric aggregation supported SCA-grade and harvest-year ranges.

  • Modular listing workflow

    A section-based form architecture with Formik, Yup and reusable controls made complex listing requirements easier to validate, maintain and guide.

  • Resumable onboarding

    Onboarding was modeled as an explicit multi-stage business workflow rather than a single completion flag.

  • Serverless data access

    Cached MongoDB connections and focused Next.js route handlers supported authentication, marketplace data, subscriptions, payments and webhooks.

  • Reporting foundation

    Reusable Chart.js and TanStack Table components established pricing-history, summary, visualization and export capabilities for future market intelligence.

08Integrations

Connected systems

  • Zoho CRM

    Company and stakeholder profiles synchronized into the commercial operations layer during onboarding.

  • Zoho Billing

    Plan selection, payment-page creation, subscription activation and billing webhooks connected access to commercial status.

  • Resend & AWS SMS

    Email and SMS channels supported contact verification and onboarding communication.

  • Payment foundation

    Stripe libraries represented an early or future payment path alongside the active billing integration and longer-term escrow vision.

09Scope

What the team delivered

  1. Built a multi-step, resumable onboarding and subscription workflow

  2. Developed a coffee-specific listing model with commercial, quality and logistics data

  3. Implemented marketplace discovery with filters derived from live inventory

  4. Integrated Zoho CRM and Zoho Billing with email and SMS verification

  5. Created reusable reporting tables, charts and data-export foundations

  6. Structured the Next.js application around modular forms, route handlers and Mongoose models

10Services

Repos & services

Anonymized service family across the platform.

ServiceResponsibilityStack
Marketplace Web ApplicationOnboarding, account access, inventory discovery, listing management and reportingNext.js 15, React 19, TypeScript, Tailwind CSS
Domain API LayerAuthentication, verification, marketplace data, filters, subscriptions and webhooksNext.js route handlers, Mongoose
Commodity Data StoreUsers, onboarding, verification, subscriptions, transactions and coffee inventoryMongoDB
Commercial Operations LayerCRM synchronization, billing activation, verification messaging and payment foundationsZoho CRM, Zoho Billing, Resend, AWS SMS
11Outcomes

Results that matter

  • Combined onboarding, subscriptions, listings, marketplace discovery and reporting in one domain-specific application

  • Represented coffee lots with structured quality, commercial, logistics and document data

  • Made marketplace filters respond automatically to live inventory

  • Established CRM and billing workflows for commercial activation

  • Created a credible foundation for bidding, escrow, disputes, notifications and deeper market analytics

Domain-led marketplace design, complex product forms, dynamic search, onboarding workflows, CRM/billing integrations and serverless application architecture.

12Boundaries

Scope & caveats

These implementation boundaries keep the public description technically honest.

  • The product is best described as an advanced prototype or early MVP, not a fully hardened production marketplace.
  • Identity verification, session security, route authorization and payment-webhook integrity remained hardening priorities.
  • Dedicated listing persistence, file storage, lifecycle enforcement and automated testing required further investment.
  • Business-impact figures in the source brief were a measurement framework, not verified outcome metrics.
13Visuals

Product visuals

Coffee listing workflow capturing origin, quality, pricing and logistics
Coffee marketplace search, filters and pricing intelligence
14More work

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