XStak AI

Revolutionize Your Shopping Experience
with Advanced AI

Empower your eCommerce platform with XStak AI, a comprehensive suite of AI-driven solutions designed to transform how your customers discover and engage with products. XStak AI offers a dual approach to personalized shopping, combining the power of data-driven recommendations with the intuitive experience of visual search.

What Do We Offer

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Product Recommendation Engine

Give your customers recommendations that they will love, right when they need it! With our recommendation engine, you can take advantage of real-time data and advanced algorithms to deliver tailored recommendations for your customers.

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Image Similarity Module

XStak Image Similarity Platform, powered by visual AI, helps retailers pinpoint their shoppers' favorite products with inspiring visual search journeys that drive conversion and increase lifetime value.

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Shopping Assistant

Transform your customers' shopping experience with our innovative AI Shopping Assistant. Leveraging the latest in artificial intelligence, this tool allows customers to describe their desired products in any way they choose, and it will intelligently suggest similar items. 

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Inventory Forecasting

Harness the power of AI to predict your inventory needs accurately with XStak AI's Inventory Forecasting. Our advanced algorithms analyze historical sales data, seasonal trends, and market dynamics to ensure you have the right products at the right time. 

Product Recommendation Engine

Give your customers recommendations that they will love, right when they need it! With our recommendation engine, you can take advantage of real-time data and advanced algorithms to deliver tailored recommendations for your customers.

Personalized Recommendations

Our product recommendation engine is a self-service tool that provides personalized recommendations based on customers’ past purchases. You can start using it in your company today.

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Increase Conversions and Revenues

With better recommendations based on past behavior and owing to smart recommendations, you can see increased conversions on your store and drive more revenues per customer visits to your store.

Improved Customer Experience

Customers find what they would potentially like very quickly and recommendations reduce customers' time to look for similar products and products that have been bought together in the past by other customers with similar preferences.

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How it works

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Collaborative Filtering: Based on similarity of customer(their browsing or purchase behavior)

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Content Filtering: Based on similarity of the product


People who bought this also bought

Collaborative filtering is a strategy for predicting or classifying future behavior. We use this to suggest products for purchase. The prediction is based on past likes/actions and not on features of the product itself.

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You may also like

This feature allows you to recommend products that have similar tags/attributes to those products that are currently being viewed/added to the cart by a visitor.

Hot-selling products

These products are being added to cart or viewed by other visitors and you might want to pick them up.

enhanced customer experience

Case Studies

Case Study

Improving Conversion rates and ROI

Several fashion retailers, including Bonanza, Alkaram Studio and Meme , were facing difficulties in increasing their conversion rates and achieving higher revenue and higher average order value. To tackle this problem, XStak proposed a solution to these retailers that focused on enhancing customer engagement, increasing the average order value (AOV) per customer, and improving conversion rates.

XStak's Product Recommendation Engine was identified as a key tool to achieve these goals. After implementing the recommendation engine, these fashion retailers observed a significant improvement in ROI and customer engagement, leading to an overall increase in profitability per customer visit. The retailers were thrilled with the results and recognized the value of XStak's solution in driving business growth.

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The Results

261x ROI
94x ROI
Alkaram Studio
41x ROI

Image Similarity Module

Upgrade Your Customer Experience

Shoppers are looking for product information before they decide to buy. Give them instant access to more details and help them feel confident in their purchase by offering personalized recommendations

highly Targeted Promotions
Unlimited Offer Types In a no-code environment

Improve Product Discoverability

Better discoverability makes shoppers more likely to explore and purchase your items, hence increasing your conversion rates. Ideal for marketplaces, brands and retailers of all sizes

Increase Conversions and Revenues

Boost your revenue streams by converting more visitors into buyers and increasing sales.

social and advocacy loyalty
Unlimited Offer Types In a no-code environment

Scalable and Flexible

Out-of-the-box visual AI solutions are ready to scale on any eCommerce platform. Available via API, JavaScript, and eCommerce platform plug-ins.

Shopping Assistant

AI-Powered Shopping Recommendations

Revolutionize the way your customers shop with our advanced Shopping Assistant powered by cutting-edge AI technology. Customers can write whatever they want, and our AI shopping Assistant will recommend similar products.

Benefits include:

  • Enhanced shopping experience
  • Increased product discoverability
  • Higher customer satisfaction
  • Improved sales and revenue
  • Empower your customers with personalized shopping assistance.
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Inventory Forecasting

By integrating real-time data analysis and predictive modeling, we offer actionable insights that empower you to make informed restocking decisions.

Benefits include:

  • Reduced Stockouts and Overstocks: Predict demand accurately to maintain optimal inventory levels, minimizing the risk of stockouts and overstocks.
  • Enhanced Operational Efficiency: Streamline inventory management processes, saving time and resources by focusing on data-driven restocking strategies.
  • Improved Cash Flow: By optimizing inventory levels, tie up less capital in stock and allocate resources more effectively across your business.
  • Increased Customer Satisfaction: Ensure popular items are always in stock, enhancing the shopping experience and fostering customer loyalty.
  • Data-Driven Restocking Decisions: Leverage historical sales data and predictive analytics to make informed decisions on when and how much to restock.
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Enable Modern Experiences For Your Customers

Book A Demo
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