Case study · Vaisela
Vaisela — AI Virtual Seller Assistant for Amazon
An AI-powered virtual assistant for Amazon sellers: a custom-trained LLaMA model analyzes Seller Central data and proactively recommends actions — privacy-by-design, piloted with 200 sellers, architected to scale to millions.
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200
Sellers in launch pilot
0
External data exposure
Proactive
AI recommendations
Team — 5 specialistsDuration — 7 monthsIndustry — Ecommerce & Retail
The problem
Existing seller tools relied on manual prompting and risked exposing sensitive business data. Vaisela needed proactive, contextual recommendations from Seller Central data, zero external data exposure, and an architecture ready to grow from 200 pilot sellers to millions — and later to Shopify, eBay, Walmart, and TikTok.
What we built
The solution.
- 01Secure Amazon Seller Central integration with automated daily processing of seller performance data.
- 02Custom LLaMA-based AI model delivering contextual, proactive business recommendations — no constant prompting.
- 03Privacy-by-design framework with zero external data exposure, handled compliantly in AWS.
- 04Knowledge hierarchy prioritizing Amazon terms, academy training, and mentorship content over external sources.
- 05Smart admin dashboard to upload and prioritize documents, manage unresolved cases, and retrain the model.
- 06Free pilot for 200 Amazon sellers with premium real-time recommendations as the platform learns.
LLaMA (custom-trained)ReactNode.jsAWS Lambda / API GatewayAWS RDS (PostgreSQL)AWS S3Amazon Seller Central APIs
Product
Inside the build.
Talk it through
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