WORK → ALA AI ANALYTICS PLATFORM
ALA: bringing stock-market precision to luxury handbag resale
A market intelligence and AI platform we built for the Asia Luxury Association. It aggregates data across the global secondary market to track pricing trends and product lifecycles like a financial terminal — paired with automated computer-vision intake and a white-glove AI concierge — so buyers can make data-driven decisions.
ROLE
Data engineering, AI implementation, full-stack development, design
TIMELINE
Scoped to launch in 2 months
STACK
Next.js · Python · Computer Vision
MARKET
Global secondary luxury market
THE CHALLENGE
Opaque pricing and manual bottlenecks in secondary luxury
The secondary luxury handbag market behaves much like a financial market, yet its data is fragmented across dozens of disconnected platforms. For buyers, tracking historical valuations, analyzing asset lifecycles and spotting fair market pricing is a manual guessing game. Businesses face an operational bottleneck of their own: the physical intake, identification and condition assessment of incoming inventory is slow and human-dependent.
THE SOLUTION
A market-intelligence terminal with an AI-driven intake engine
We designed and built a two-sided solution that unifies data aggregation with operational AI. A data engine scrapes and consolidates pricing from the major secondary-market sources, producing real-time valuation charts and lifecycle analytics so buyers can trade with confidence. Alongside it, an automated computer-vision pipeline and an AI chatbot hub handle physical inventory intake and deliver instant product expertise.
WHAT WE BUILT
Market intelligence meets automated operations
Secondary market aggregator
Consolidates feeds from the major global resale platforms into one unified data pipeline, tracking macro trends across the luxury market.
Valuation & lifecycle charting
Interactive pricing charts showing historical value retention, current market caps and lifecycle analytics per handbag model — a stock terminal for bags.
Automated image intake
Computer-vision models instantly identify a bag's brand, model and physical condition from photos, removing human error from intake.
Decision-support interface
A pure analytics dashboard built to evaluate risk and guide buying decisions — intelligence deliberately separated from direct e-commerce sales.
Integrated chatbot hub
An AI concierge trained on deep luxury domain knowledge, delivering real-time, white-glove support and instant market insights to clients.
THE RESULT
Data-driven clarity for secondary luxury assets
1 feed
consolidated data
Global secondary-market sources aggregated into a single dashboard
Instant
intake & ID
Brand, model and condition analysis automated by computer vision
0
direct sales
Objective, conflict-free market intelligence to guide buying decisions
24/7
expert support
An automated concierge delivering real-time, white-glove knowledge
By treating luxury handbags like alternative financial assets, we gave ALA a platform that changes how the secondary market operates. It brings institutional-grade data charting and automated AI operations to the luxury ecosystem.
David Wong
TECH LEAD, ASIA LUXURY ASSOCIATION
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