Multi-Vendor Marketplace: E-Commerce Platform
Case Study
A growing e-commerce operator wanted to move from a single-inventory store to a true marketplace where independent sellers list and sell their own products. Kevion built a custom multi-vendor platform on a scalable API-first architecture: vendor onboarding and storefronts, a configurable commission engine, automated payout scheduling, vendor-side dashboards, and admin analytics.
Proof Snapshot
Project Overview
The client operated a successful single-inventory online store and wanted to expand into a marketplace model where third-party sellers could list products. They needed the platform to handle the operational complexity of multi-vendor commerce — onboarding, commission, payouts, and disputes — without ballooning their operations team.
Business Challenge
Running a marketplace manually does not scale: seller onboarding, per-seller commission math, payout schedules, and dispute resolution were all potential bottlenecks. The client needed a platform where sellers self-serve and the operator retains control through approvals, analytics, and settlement logic.
- ✕No self-service seller onboarding or storefront management.
- ✕Commission structures were complex and changed per category and seller tier.
- ✕Payouts to sellers had to be accurate and automated.
- ✕The operator needed marketplace-wide visibility across all sellers.
- ✕A unified buyer experience had to coexist with per-vendor catalogs.
Project Goals
- ✓Self-service seller onboarding and storefront management
- ✓Flexible, tiered commission engine
- ✓Automated and auditable seller payouts
- ✓Admin control over approvals, disputes, and analytics
- ✓One marketplace checkout across all vendors
Technical Architecture
Visual pipeline representing customer requests to backend processing data flows:
Technology Stack
| Layer | Technology |
|---|---|
| Frontend | Next.js (Buyer & Vendor) |
| Backend | Node.js |
| Database | PostgreSQL |
| Cache & Jobs | Redis, Queue Workers |
| Payments | Stripe Connect |
| Deployment | Docker, AWS |
| Language | TypeScript |
Deployment Team
| Role | Developers Count |
|---|---|
| Solution Architect | 1 engineer |
| Full-Stack Developer | 2 engineers |
| Frontend Developer | 1 engineer |
| QA Engineer | 1 engineer |
Discovery & Scoping
- 1Documented the operator's commission structure, categories, and seller tiers.
- 2Mapped payout rules, settlement periods, and fee handling.
- 3Reviewed the existing single-store catalog and data model.
- 4Defined buyer, vendor, and admin user journeys.
Execution Phases
Phase 1: Phase 1: Platform Architecture
Multi-tenant data model, role-based access, and marketplace API design.
Phase 2: Phase 2: Vendor Experience
Onboarding with KYC, storefront setup, product listing, and order management.
Phase 3: Phase 3: Commerce Engine
Catalog, search, cart, and unified checkout across vendor inventories.
Phase 4: Phase 4: Commission & Payouts
Tiered commission engine, payout scheduling, and settlement reports via Stripe Connect.
Phase 5: Phase 5: Admin & Launch
Approvals, disputes, analytics dashboards, and go-live with seller migration.
Before vs. After
| Before | After |
|---|---|
| Single-inventory store | Multi-vendor marketplace |
| Manual seller onboarding | Self-service KYC flow |
| Fixed pricing | Tiered commission engine |
| Manual payouts | Automated settlements |
| Limited visibility | Marketplace-wide analytics |
Performance Improvements
Development Timeline
Technical Problems Solved
✕Complex commission math
Solution: Built a tiered commission engine that resolves per-category and per-tier rates at order time with full audit trails.
✕Accurate seller payouts
Solution: Automated settlement scheduling through Stripe Connect with detailed reports and dispute handling.
✕Multi-tenant data isolation
Solution: Designed a marketplace schema where vendor data is isolated by tenant while the buyer catalog remains unified.
Business Results
Lessons Learned
- •A marketplace is a platform problem — commissions, payouts, and isolation must be designed before features.
- •Seller self-service removes the biggest operational bottleneck.
- •Payout automation needs audit trails and settlement reporting to be trustworthy.
- •Unified buyer checkout with per-vendor catalogs requires careful data modeling.
Why Kevion Technologies
- ✦Experience building multi-tenant platforms and marketplace engines.
- ✦Payment and payout automation expertise (Stripe Connect).
- ✦Full-stack delivery from buyer storefront to admin analytics.
- ✦Architectures that scale as sellers and order volume grow.
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