Vendor Marketplace OS Case Study | eCommerce Automation

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eCommerce

Marketplace Vendor Matching & Onboarding

Automated vendor discovery, vetting, and onboarding for B2B marketplaces and wholesale platforms.

This eCommerce AI automation case study explores Marketplace Vendor Matching & Onboarding. Tags: eCommerce, Lead Management, Workflow Automation, Document Processing, Make.com, Retool, OpenAI, AI Automation.

3 weeks → 3 days

Onboarding Time

+35%

Vendor Quality Score

10× faster

Application Processing

Overview

A B2B marketplace needed to scale vendor acquisition while maintaining quality. Manual vetting was slow and inconsistent, and onboarding took weeks. The automation reduced vendor onboarding from 3 weeks to 3 days.

Challenges

1

Manual vendor vetting taking weeks

2

Inconsistent quality standards

3

Document collection via email

4

No visibility into application pipeline

5

Onboarding steps scattered across tools

What We Delivered

Self-service vendor application portal

AI-powered document verification (licenses, insurance, certifications)

Automated scoring and tier assignment

Onboarding checklist automation

Vendor performance dashboard

Integration with payment and fulfillment systems

Tech Stack

Custom vendor portal, Make.com, OpenAI for document analysis, Retool, PostgreSQL

Tags

eCommerceLead ManagementWorkflow AutomationDocument ProcessingMake.comRetoolOpenAIAI Automation

Results

3 weeks → 3 days

Onboarding Time

+35%

Vendor Quality Score

10× faster

Application Processing

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