maya.ai – eCommerce Personalization Engine

maya.ai enables e-commerce companies to personalize user experience. On every website. For every customer.

maya.ai enables e-commerce companies to personalize user experience. On every website. For every customer. Equipped with high performance AI-powered prediction algorithms, maya.ai offers higher conversions, super-fast integration and quick results.

Features:

1. Category Page Reordering

Challenges

30% of visitors leave the website from the product listing page.
– Bestsellers and popular products occupy top spots. Irrespective of individual customer taste.
– Apart from popular products, the range of other products shown is limited.
– Opportunity to drive much more inventory sales.

Solutions

– Predicts the most relevant and personalized products for any visitor. In real time.
– Past behaviour, taste, context and intent are taken into account.
– Works with the client’s current UX strategy.
– Provides a good mix of choices. Some that are personalized at a visitor level and some that the retailer wants to push to visitors.

Benefits

– Ensures that every visitor is able to discover at least a few products that match her taste.
– Drives visitors towards point of purchase from point of discovery.
– Substantially increase sales conversions.
– Optimized for discovery and likelihood-to-click.

2. Personal Boutique

Challenges

– E-commerce websites are usually unable to mimic a sales assistant.
– Visitors are expected to know exactly what they are looking for. They often don’t.
– Applying filters, getting further details leads to tedious user experience.

Solutions

– Personalized ‘boutique’ pages for each user.
– Enables users to interact and provide feedback on each product.
– The product page continuously re-aligns itself. In real time.
– Displays only the most relevant and personalized products to any visitor at any point of time.
– Drives shoppers towards point of discovery.

Benefits

– Ensures product discovery.
– Increases the likelihood of clicks.

3. Recommendation Widgets

Challenges

– Customers view 4-12 product pages before making a purchase decision.
– Thereafter, the visitor has to return to the product listing page to make a new purchase.
– The shopper may leave without purchasing a second product.

Solutions

– Recommendation widgets enable visitors to explore the site without too many obstacles.
– Identify the most relevant and personalized products and displays them in decreasing order of likelihood to purchase.
– Fine tune with context and past behavior.

Benefits

– Increases the likelihood of purchase.
– Optimized for higher conversions.
– Led from point of discovery.

4. Optimization Widgets

Challenges

– Personalization engines don’t kick in until sufficient user interaction data is available.
– A choice between niche and popular products needs to be made constantly.
– Not knowing customer tastes leads to high views and low conversions.

Solutions

– Couple personalization with 3 non-personalization widgets, namely:
– New-arrivals: Used to capture interaction data for new products.
– Bestsellers: Used to break the dichotomy of discovery vs. closure.
– Recently Viewed: Used to lure visitors to zero-in on a choice.

Benefits

– Increases the likelihood of purchase.
– Optimized for higher conversions.
– Led from point of discovery.

5. Exit pop-ups

Challenges

– Visitors leave without purchases because:
– marketing campaigns bring in the wrong visitors.
– visitors do not find anything worthy of purchase.
– visitors liked some products but chose not to purchase on current session.
– visitors were undecided on a product.

Solutions

– Exit intent pop-up.
– Display of a completely personalized feed of products.
– Discounts and offers.

Benefits

– Increases the chances of purchase.
– Optimized for likelihood to click.

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