SOLUTIONS
Real-Time Predictions That Fuel Retail
At Panorama AI, we harness the power of AI to deliver real-time predictions that enable our customers to create truly personalized experiences and operate more efficiently. By integrating advanced machine learning models with zero-party, first-party, and multimodal data, we provide a suite of predictive tools tailored to the needs of eCommerce retailers.
Real-Time Predictions For Marketers
Individually Personalized Promotions & Offers
Tailor discounts & promotions to individual customers to increase contact capture rates, conversion, and revenue
95% of discount pop-ups are ignored. Why? Because the offers are generic and they feel like spam. Our AI-Powered Offers, like predictive discounts, use AI to determine the optimal offer amount, offer timing, creative, and more so that each customer receives just the right incentive at just the right time to close a sale without eroding your margins.
Model: Use predictive models to assess the likelihood of a customer converting at different discount levels.
Optimize: Deploy personalized offers in real-time across your site, app, email, SMS, and other channels to maximize conversions and revenue.
Predictive Lifetime Value (pLTV)
Boost ROAS by targeting segments of shoppers predicted to have high lifetime value
Panorama AI predicts the future value of each shopper beginning with their first interaction. By accurately predicting who your high-value customers are, you can tailor your marketing strategies to focus on those most likely to generate significant revenue over time.
Predict: Let AI show you the customers with the greatest long-term value.
Target: pLTV can be used with Meta and Google to better target, efficiently allocate budget, and boost overall ROAS.
SKU & Category Affinity
Predict which products and categories your customers are likely to convert on to drive revenue
Panorama AI’s SKU Affinity models use a ‘Likelihood To Convert’ prediction to help you understand how likely each individual visitor is to convert on each and every item in your product catalog.
Marketers can use this to hyper-personalize campaigns by promoting exactly the products that shoppers are likely to purchase. This prediction type can also be used to create individually personalized PLP’s for every single customer landing on a brand’s site.
Stop making shoppers wade through hundreds of products they aren’t interested in. Show them the most relevant products quickly to make their shopping journey enjoyable and efficient.
Omnichannel Optimization: Likelihood To Convert predictions can be used to tailor marketing campaigns, make product recommendations, launch hyper-personalized emails, and more. Knowing what shoppers want at an individual level enables powerful omnichannel personalization strategies.
AI-Derived Customer Attributes for Segmentation
Build advanced segments on customer preferences & lifestyle factors using insights generated by multimodal AI
Our AI analyzes photo, video, audio, and other data from customer service calls, chats, search queries, deliveries, product reviews, and more. As customers interact, the AI learns highly unique attributes like color preference, personal style, household size, in-home furnishings, pet ownership status, likely income, etc.
Marketers can create segments and export them to channels like Meta and Google for advanced targeting and powerful lookalike campaigns.
Measure: Identify key attributes that drive customer behavior and preferences.
Optimize: Use these insights to improve the performance of product recommendations, personalize marketing messages, tailor site experiences, and generate paid channel audiences on unique attributes.
Real-Time Predictions For Ecommerce & Merchandising Teams
Predictive Lifetime Value (pLTV)
Boost ROAS by targeting segments of shoppers predicted to have high lifetime value
Panorama AI predicts the future value of each shopper beginning with their first interaction. By accurately predicting who your high-value customers are, you can tailor your marketing strategies to focus on those most likely to generate significant revenue over time.
Predict: Let AI show you the customers with the greatest long-term value.
Target: pLTV can be used with Meta and Google to better target, efficiently allocate budget, and boost overall ROAS.
Individually Personalized Promotions & Offers
Tailor discounts & promotions to individual customers to increase contact capture rates, conversion, and revenue
95% of discount pop-ups are ignored. Why? Because the offers are generic and they feel like spam. Our AI-Powered Offers, like predictive discounts, use AI to determine the optimal offer amount, offer timing, creative, and more so that each customer receives just the right incentive at just the right time to close a sale without eroding your margins.
Model: Use predictive models to assess the likelihood of a customer converting at different discount levels.
Optimize: Deploy personalized offers in real-time across your site, app, email, SMS, and other channels to maximize conversions and revenue.
AI-Powered Product Catalog Enhancement (Feature Creation)
Improve your personalization, upsell and cross-sell efforts by understanding product features & relationships
When product catalogs lack rich features it can be hard to recommend relevant products to customers since it is less apparent which SKUs are truly complimentary. Our AI analyzes your product photos to identify product features so that you go from understanding the color and style of each SKU to knowing how customers use items, what they pair well with, unique textures & shapes, and more.
Model: AI-Powered Product Graphs model the relationship between products. This allows you to upsell and cross-sell effectively. Recommend products which are “Frequently Bought Together” or “Pairs Well With...” knowing that your recommendations will drive Average Order Value, enhance shopping experiences, and exposes customers to relevant products in less frequented categories.
SKU & Category Affinity
Predict which products and categories your customers are likely to convert on to drive revenue
Panorama AI’s SKU Affinity models use a ‘Likelihood To Convert’ prediction to help you understand how likely each individual visitor is to convert on each and every item in your product catalog.
Marketers can use this to hyper-personalize campaigns by promoting exactly the products that shoppers are likely to purchase. This prediction type can also be used to create individually personalized PLP’s for every single customer landing on a brand’s site.
Omnichannel Optimization: Likelihood To Convert predictions can be used to tailor marketing campaigns, make product recommendations, launch hyper-personalized emails, and more. Knowing what shoppers want at an individual level enables powerful omnichannel personalization strategies.
Demand Forecasting
Stay ahead of demand with AI-powered insights
Panorama AI’s Demand Forecasting solution predicts future demand for your products based on historical sales data, market trends, and other variables. This helps you maintain optimal inventory levels, reduce stockouts, and increase sales.
Merchandisers use demand forecasting to shift promotional strategy and identify existing inventory to be offloading through merchandising efforts.
Forecast: Get ahead of demand with AI-powered predictions designed to help you operate more efficiently.
Optimize: Adjust inventory and procurement strategies to meet future demand while minimizing waste.
Cart Abandonment Predictions
Reduce cart abandonment rates with proactive experiences
We predict which of your customers is likely to abandon their carts. This allows you to intervene with personalized offers or reminders before they leave. Our Cart Abandonment model provides real-time insights into abandonment risk, helping you recover potential lost sales.
Track: Use our predictions and tracking to monitor cart abandonment likelihood based on customer behavior during their session so that you know when to intercede.
Optimize: Implement targeted interventions, such as our exit-intent popup experience, to reduce cart abandonment. Go one step further and combine AI-Powered Offers with Cart Abandonment Predictions to make a hyper-personalized discount offer only when the likelihood a customer will abandon is high.