VendorForge AI: An Autonomous Reseller Copilot That Turns Clutter into Cash

说明与用途

VendorForge AI 为 Etsy、eBay 和 Shopify 的卖家自动化研究、定价和文案生成，节省超过 3 小时的工作时间，消除代币成本并保护敏感数据。

问题

Resellers face a “Death Pile” time sink of 15‑30 minutes per item for research, SEO, and multi‑platform listings, and suffer from pricing guesswork that can erode margins or tie up inventory, while closed‑API SaaS tools add 10% token‑fee costs and risk exposing trade secrets.

结果

Resellers reported saving over 3 hours of listing labor per Sunday batch and confirmed willingness to pay $15/month, while open‑weight models eliminated token fees and protected trade secrets.

工作流

• 1. Intake sourced item and photo specs
• 2. Query MongoDB Atlas Vector Search for semantic memory
• 3. Scrape live eBay & Etsy sold comps via SerpApi
• 4. Run TabPFN‑3.5 for price, sale probability, and anomaly flagging
• 5. Generate platform‑specific copy with Google Gemma 2
• 6. Produce 15‑second voiceover with ElevenLabs
• 7. Record telemetry with Sentry Agent Tracing

证据

After sourcing 20 items at a thrift store or estate sale, a seller spends 15 to 30 minutes per item manually researching sold comps, writing SEO titles, counting tags, and tailoring descriptions for 3 different platforms.

来源

In our validated pilot, a reseller managing 2,400+ online sales confirmed a willingness to pay $15/month after saving over 3 hours of listing labor on a single Sunday batch.

来源

Running Gemma 2 open weights locally or on shared instances brings marginal inference cost to $0.00.

来源