Merchandising & Inventory Management
AI Vision to optimize planograms
Precise and Dynamic Pricing Strategies
AI pattern matching for optimized pricing
Hyperpersonalized Customer Interactions
Chatbots that speak in your brand's unique tone
AI Store Operations
Frontline Store Manager for managing store associates
Merchandising & Inventory Management
AI Vision to optimize planograms
Precise and Dynamic Pricing Strategies
AI pattern matching for optimized pricing
Hyperpersonalized Customer Interactions
Chatbots that speak in your brand's unique tone
AI Store Operations
Frontline Store Manager for managing store associates
Customers expect businesses to be available 24/7. Customer service call centers are expensive and not always reliable. AI-powered chatbots are the solution.
Our Generate GenAI LLM platform builds chatbots that reflect a brand's own unique brand voice and tone in all interactions with customers. Using Interplay®, we can quickly build a chatbot using any advanced AI engine and a training data set that ties to order management systems, inventory management systems, and CSR queues. Now, customers can get a majority of their questions answered at any time.For most merchandisers, the planogram is done by arbitrary artistic judgment, especially in fashion retail. As computer vision has advanced, and with cameras readily available throughout retail space, machine learning is being applied to planograms. Each product has a set of qualities: price point, target market, market position (e.g. “luxury”, “affordable”), size, color, and even label font. Interplay AI engines can execute against each of these data sets and recorded purchasing patterns to optimize the planogram for the retailer’s desired outcome: increasing overall sales volume, optimizing margin, upgrading average order value, or whatever the store’s goals require.
Interplay’s commerce suite includes full inventory management, including price book management, audits, and all major features found with leading systems. Coupled with the AI engines included with Interplay, inventory levels can be optimized with predictive forecasting, multivariate analysis, and matched to complex AI trend analysis.
Interplay’s data processing nodes can be configured to monitor competitor’s published pricing in a given region. Utilizing AI pattern matching, retailers can utilize Interplay to configure price guarantees and dynamic couponing to reward loyal customers with points or future discounts. For managers, the competitor’s pricing becomes a valuable data point for analysis and planning.
Benefits:Price competitiveness
Optimized margin by avoiding unnecessary discounts
Increased customer loyalty
Interplay connects directly with store cameras and retail systems to provide a complete AI layer for store management. With AI-enabled systems, all existing infrastructure becomes much smarter.
Capabilities:Cameras can automatically detect fluid spills and broken displays
Track customer flows to show heat maps of highest traffic areas
Count people using the bathrooms and automatically prompt managers for cleanings
Manage employee messaging and notifications to groups
Interplay uses ML algorithms to analyze customer data in order to provide personalized product recommendations to customers. Product recommendations are based on a variety of factors, such as a customer's browsing history, purchase history, and demographic information.
Traditional merchandising is limited by simple probability algorithms to match products with only the most obvious cross-sell and upsell matches. AI/ML merchandising can exploit much more complex pattern matching, longevity curves, overall market factors, and much more subtle prompts to optimize the product catalog mix. The overall benefit for this advanced approach is happier customers and better margins for the retailer.
Traditional website search platforms rely on the structured data within products and categories being sold, looking for simple text matches. Interplay’s advanced AI-centric search not only provides text search, but also understands several hundred ‘customer intents’ that can answer to the soft related terms that customers might use when searching for a product, a specific interaction, or a service.
For retail stores, Interplay has a complete headless commerce platform that can integrate all legacy inventory management systems, complete order management, payment gateways, shipping providers, and customer management systems-- all within a headless edge environment for maximum flexibility. This platform is built out leveraging low-code nodes for each integration point, so best-of-breed integrations are quick and seamless.
Interplay’s AI-centric product recommendation engine tracks all structured data of product information and sales data, and notes the groupings which lead to better sales. Interplay also analyzes the unstructured data of seasonality, trends, and overall consumer sentiment towards each product.
Interplay’s data processing nodes can be configured to monitor competitor’s published pricing in a given region. Utilizing AI pattern matching, retailers can utilize Interplay to configure price guarantees and dynamic couponing to reward loyal customers with points or future discounts. For managers, the competitor’s pricing becomes a valuable data point for analysis and planning.
Benefits:Price competitiveness
Optimized margin and responsiveness
Increased customer loyalty
Current security systems rely on various cameras and humans watching camera footage. This is now an outdated and unreliable practice. Using Interplay, we can connect existing cameras to new edge computers that are omni-vigilant. Powered by AI, our technology can recognize weapons (e.g. guns, knives) and other items signaling danger (e.g. robber masks, tactical and kevlar vests) with instantaneous reaction times (<30ms.)
Customers expect businesses to be available 24/7. Customer service call centers are expensive and not always reliable. AI-powered chatbots are the solution.
Our Generate GenAI LLM platform builds chatbots that reflect a brand's own unique brand voice and tone in all interactions with customers. Using Interplay®, we can quickly build a chatbot using any advanced AI engine and a training data set that ties to order management systems, inventory management systems, and CSR queues. Now, customers can get a majority of their questions answered at any time.For most merchandisers, the planogram is done by arbitrary artistic judgment, especially in fashion retail. As computer vision has advanced, and with cameras readily available throughout retail space, machine learning is being applied to planograms. Each product has a set of qualities: price point, target market, market position (e.g. “luxury”, “affordable”), size, color, and even label font. Interplay AI engines can execute against each of these data sets and recorded purchasing patterns to optimize the planogram for the retailer’s desired outcome: increasing overall sales volume, optimizing margin, upgrading average order value, or whatever the store’s goals require.
Interplay’s commerce suite includes full inventory management, including price book management, audits, and all major features found with leading systems. Coupled with the AI engines included with Interplay, inventory levels can be optimized with predictive forecasting, multivariate analysis, and matched to complex AI trend analysis.
Interplay’s data processing nodes can be configured to monitor competitor’s published pricing in a given region. Utilizing AI pattern matching, retailers can utilize Interplay to configure price guarantees and dynamic couponing to reward loyal customers with points or future discounts. For managers, the competitor’s pricing becomes a valuable data point for analysis and planning.
Benefits:Price competitiveness
Optimized margin by avoiding unnecessary discounts
Increased customer loyalty
Interplay connects directly with store cameras and retail systems to provide a complete AI layer for store management. With AI-enabled systems, all existing infrastructure becomes much smarter.
Capabilities:Cameras can automatically detect fluid spills and broken displays
Track customer flows to show heat maps of highest traffic areas
Count people using the bathrooms and automatically prompt managers for cleanings
Manage employee messaging and notifications to groups
Interplay uses ML algorithms to analyze customer data in order to provide personalized product recommendations to customers. Product recommendations are based on a variety of factors, such as a customer's browsing history, purchase history, and demographic information.
Traditional merchandising is limited by simple probability algorithms to match products with only the most obvious cross-sell and upsell matches. AI/ML merchandising can exploit much more complex pattern matching, longevity curves, overall market factors, and much more subtle prompts to optimize the product catalog mix. The overall benefit for this advanced approach is happier customers and better margins for the retailer.
Traditional website search platforms rely on the structured data within products and categories being sold, looking for simple text matches. Interplay’s advanced AI-centric search not only provides text search, but also understands several hundred ‘customer intents’ that can answer to the soft related terms that customers might use when searching for a product, a specific interaction, or a service.
For retail stores, Interplay has a complete headless commerce platform that can integrate all legacy inventory management systems, complete order management, payment gateways, shipping providers, and customer management systems-- all within a headless edge environment for maximum flexibility. This platform is built out leveraging low-code nodes for each integration point, so best-of-breed integrations are quick and seamless.
Interplay’s AI-centric product recommendation engine tracks all structured data of product information and sales data, and notes the groupings which lead to better sales. Interplay also analyzes the unstructured data of seasonality, trends, and overall consumer sentiment towards each product.
Interplay’s data processing nodes can be configured to monitor competitor’s published pricing in a given region. Utilizing AI pattern matching, retailers can utilize Interplay to configure price guarantees and dynamic couponing to reward loyal customers with points or future discounts. For managers, the competitor’s pricing becomes a valuable data point for analysis and planning.
Benefits:Price competitiveness
Optimized margin and responsiveness
Increased customer loyalty
Current security systems rely on various cameras and humans watching camera footage. This is now an outdated and unreliable practice. Using Interplay, we can connect existing cameras to new edge computers that are omni-vigilant. Powered by AI, our technology can recognize weapons (e.g. guns, knives) and other items signaling danger (e.g. robber masks, tactical and kevlar vests) with instantaneous reaction times (<30ms.)