Uncover 2024’s HOTTEST ecommerce personalization trends & master customer engagement. Explore Now!
Uncover 2024’s HOTTEST ecommerce personalization trends & master customer engagement. Explore Now!
Get the ‘Best of both Worlds’ in a single platform
20+ years of pioneering innovations in personalization and omnichannel marketing for leading retailers and brands globally
Leaner marketing and e-commerce teams can now have the same impact as enterprise marketing teams with access to real-time automated audiences, out-of-the-box algorithms like propensity to buy, CLTV, churn prediction, and activations across channels, at your fingertips
Personalize visitor experience, drive higher sales and RPV with a full suite of hyperpersonalized recommendations using a library of 150+ strategies out-of-the-box.
Get access to advanced techniques like Visual AI and Deep Recommendations NLP.
Syndicate your audience and leverage real-time segmentation across your marketing system with full control with models like churn, RFME, clustering or affinity models. Drive higher CLTV and ROAS by curating your own segments or use built-in automated audiences and drive omnichannel activations at scale.
Increase basket size and AOV by automating and optimizing merchandising decisions with precise cross-sell, up-sell or complete the bundle recommendations using AI/ML. Get ready access to cross sell, propensity to buy, and replenishment prediction and other retail focussed models.
Larger Basket Sizes
Algonomy’s Xen AI engine monitor shopper behavior in real-time and uses the real-time customer profile and enterprise wide data to deliver the most relevant recommendations automatically.
Leverage 150+ algorithms out-of-the-box including advanced personalization strategies like Deep Recommendations NLP and Visual AI.
Create, manage and use real-time customer segments / micro-segments for real-time personalized engagement.
Leverage pre-bult audience segments for common use cases and enable real-time targeting and personalization.
Empower customers to explicitly state their category, brand and product preferences and use the data to tailor real-time customer experiences.
You can use our advanced recommendation software DeepRecs™, which leverages product data to contextually recommend new, seasonal, and long-tail products that would’ve otherwise remained buried due to lack of historical events. DeepRecs NLP uses deep learning algorithms to analyze catalog descriptions, reviews, and other textual data to infer relationships between products. DeepRecs Visual AI extracts features from product images and identifies relevant items for a personal shopper experience, in fashion & apparel and furniture verticals.
The Advanced Merchandising feature adds an extra layer of intelligence and product knowledge to product recommendation — providing a scalable method of managing cross-sell, up-sell, and complete-the-bundle recommendations without having to manually merchandise every SKU.
Manual merchandising leaves recommendation slots unfilled when products go out of stock and new products either are not recommended or do not have recommendations until the merchandiser is able to get around to adding them. Advanced merchandising automatically fills slots when empty or swaps in new items.
