Build AI product picker for TikTok Shop: Fastmoss + Claude API
Worldwide
We run a TikTok Shop affiliate operation in UK + Germany. Our internal React app handles daily ops (researchers pick products, assign to creators, capture sales). We want AI to take over the product picking. Daily flow it powers: 1. Pull trending products from Fastmoss (preferred) or Kalodata 2. AI scores each product on rank, growth, GMV, commission, lifecycle 3. AI suggests top picks per creator based on historical sales 4. We review and assign Tech: React + Vite + TypeScript + Supabase + Anthropic SDK (Claude API). Retrieval-augmented prompts using our sales history. No ML training. Deliverables: 1. Fastmoss data import to Supabase 2. Claude-powered scoring + ranking per creator 3. "Suggested picks" panel in existing UI 4. Prompt documentation Provided: Architecture doc + working code patterns + repo access. Timeline: 7-14 days.
$300.00
Fixed-price- IntermediateExperience Level
- Remote Job
- Ongoing projectProject Type
Skills and Expertise
Activity on this job
- Proposals:20 to 50
- Interviewing:11
- Invites sent:12
- Unanswered invites:0
About the client
- POLKraków9:12 AM
- $3.2K total spent50 hires, 16 active
- Media & EntertainmentSmall company (2-9 people)
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