Ango
Built a multimodal recommendation model for a sustainability platform delivered through a Chrome extension, combining visual and textual product signals to generate sub-second recommendations across 10M+ products.
Key Results
Recommendation latency
Products covered
Visual + textual product signals
The Challenge
Helping shoppers make more sustainable choices means surfacing better alternatives instantly, right where they shop — and doing it across a catalogue of more than ten million products. That demands recommendations that are both genuinely relevant and fast enough to feel seamless inside a browser extension.
The Solution
As part of the Halo AI engineering team, we built a multimodal recommendation model delivered through a Chrome extension.
Multimodal Recommendation Model
Combines visual and textual product signals to find the most relevant, sustainable alternatives.
Sub-Second, In-Browser Delivery
Generates recommendations across 10M+ products fast enough to feel instant inside a Chrome extension.
The Impact
Tangible Outcomes
Built a multimodal model combining visual and textual product signals
Generated recommendations in sub-second time
Scaled across more than 10 million products
Delivered seamlessly through a Chrome extension
Key Takeaway
Delivered as part of the Halo team, combining multimodal AI with serious scale to make sustainable shopping recommendations instant and effortless.
Need Recommendations at Scale and Speed?
Let's discuss how multimodal AI can power fast, relevant recommendations across your catalogue.