Enable retail teams to move from fragmented insights to coordinated execution by embedding intelligence directly within live commerce, store, inventory, pricing, and fulfillment workflows.
Accelerate retail data readiness through connected pipelines, standardized data models, automated validation, and scalable data engineering architectures.
Establish a reliable data foundation across POS, ecommerce, CRM, loyalty, ERP, OMS, WMS, pricing systems, supplier feeds, product catalogs, inventory data, and store operations to support real time retail decisions and agentic workflow execution.
Pre built, domain ready AI agents that integrate directly into retail operations, available now from the RandomTrees AI Marketplace.
These agents help retail teams automate demand planning, optimize pricing, improve customer engagement, generate product content, extract label intelligence, analyze revenue performance, and support faster decisions across commerce, inventory, store, and customer workflows.
Helps retail and healthcare supply chain teams forecast demand, monitor inventory holdings, segment customers, and predict service level risks. It supports better replenishment, inventory availability, and supply planning decisions.
Monitors competitor pricing, demand movement, customer segments, market trends, inventory context, and sentiment signals to recommend pricing actions that improve revenue, margin, and customer response.
The Dispute Management Agent automates accessorial dispute workflows across suppliers, carriers, data warehouse operators, and reporting analysts. It connects emails, documents, operational evidence, and approval flows to streamline dispute validation and resolution.
Enables retail teams to explore revenue performance through natural language queries, flexible dashboards, and real time business insights for faster decision making across sales, pricing, and growth workflows.
Uses LLMs and vision intelligence to extract text, components, and artwork details from product labels. It helps identify discrepancies between visual content, product information, and compliance requirements.
Creates product descriptions and visual content using Generative AI to improve catalog quality, brand consistency, customer engagement, and faster content deployment across commerce channels.
Uses Generative AI and Conversational AI to automate customer and employee query resolution, improve knowledge access, and support faster response across CPG and retail service workflows.
Collects consumer feedback, performs analytics, and generates custom reports through conversational AI. It helps retail teams understand customer needs and market signals faster.
Provides personalized product recommendations and real time communication for shoppers. It improves product discovery, customer engagement, sales conversion, and brand loyalty.
Contact our AI specialists to transform customer experience and optimize business processes
