Inconsistent data on 200M items broke keyword search. A hybrid vector engine now pairs visuals and text to find items despite missing tags.
A sustainable fashion platform aggregates over 200 million resale listings from 1,000 distinct marketplaces, requiring 1 million inventory updates every day.
Inconsistent metadata and varying image quality across disparate sources made standard keyword search unreliable for capturing details like fabric...
Browser extension for searching and aggregating secondhand fashion deals.
Vector database platform for building and scaling AI applications.
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Query spikes choked the old matcher. Zilliz Cloud cut latency to 50ms for 2M daily searches, enabling growth to 100k users.
Legacy tools choked on billions of records. A central vector store now unifies fragmented apps for 5x faster, context-aware search.
With 60 partners, data standards didn't exist. AI now standardizes 1.5M images and matches text queries to inventory.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.