Sourced By, a luxury product sourcing business built around celebrity stylist Gab Waller, was scaling faster than its research process could support.
Each sourcing request required hours of manual Google searches and image-by-image review to find products matching client specifications. There was no way to increase request volume without proportionally increasing the time Gab and her team spent on manual research.
Headstart built a custom multi-model AI vision pipeline using GPT-4o Vision API and Claude that processes product images to extract luxury style attributes, materials, and category tags, then returns structured product recommendations, replacing hours of manual Google search with results in seconds.
Full AI vision pipeline, image recognition, product matching, and recommendation output, delivered from kickoff to working MVP in 5 weeks.
Hours of per-request Google search and image review replaced by automated AI pipeline delivering structured results in seconds.
Historical sourcing data converted into a labeled training dataset, a proprietary AI asset owned by Sourced By for future model fine-tuning.
- How an ER Front Desk Cut Onboarding From Weeks to DaysBoxcar ai · Healthcare & Life Sciences
- How One Research Firm Cut Trend Reports to 35 Min With AIFractional AI · Professional Services
- How a DOOH Ad Platform Replaced Unsellable InventoryTenex · Media & Entertainment
- How a Law School Cut Bar Exam Question Time 75%GenFutures Lab · Education & EdTech