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Conversions
Improved Brand Perception
Engaged Shoppers
The retailer is the largest online consignment and thrift store in the US, with the vision to help customers shop sustainably while saving money on their favorite brands.
With over 2 million unique SKUs to manage and promote, The retailer needed to move beyond basic site search to enable truly personalized results, making the experience individualized and accurate. The retailer found that sessions that include search convert 50% better than those that don’t, however, the search terms are terse and do not provide much insight into shopper intent. How do they then tailor results?
Unlike Amazon, we carry an inventory of one. So traditional personalization strategies — customer segments, popular items, and past purchases — don’t work for our business. We needed true individualization, and Algonomy was the answer.
– Chief Technology Officer
Connect all digital path-to-purchase touchpoints — search, navigation, recommendations, and content — to deliver one personal experience that supports the complete customer journey.
Accelerate time to market with our strategy library that ranges from wisdom of the crowd and collaborative filtering approaches to deep learning visual discovery and NLP approaches.
Cross-sell and upsell seamlessly by leveraging product attributes and compatibility data. Create automated recommendations and bundles that take the load off your merchandisers.
Leverage AI to detect each shopper’s stage in the buying process, and combine it with their affinities to pick the best strategy that delivers the most relevant 1:1 experience while meeting your revenue or engagement goals.
Let’s face it—customers nowadays expect deeper and relevant communication, not cookie-cutter-styled messaging across every channel.
Deliver a best-in-class customer experience, increase online sales, and drive operational efficiency at scale
