Practical help without requiring a large digital team
We can help operate catalogs, SEO, Google visibility, product discovery, ecommerce, service visibility, advertising, and analytics around the way the store actually works.
About Discovery-AI
Retail technology built around discovery, catalogs, ecommerce, and growth
Discovery-AI LLC is a U.S.-based technology and growth company headquartered in Plano, Texas. We help rug and furniture retailers get stores, products, and services discovered, bring more inventory online, improve ecommerce search and recommendations, strengthen Google visibility, and grow online and showroom demand.
We are focused on rug and furniture retail—two visual, catalog-heavy categories where better discovery, richer product data, local visibility, and connected ecommerce can materially improve how customers shop and buy.
Experience behind Discovery-AI
Built on deep retail, ecommerce, search, and technology experience
Discovery-AI brings together 25+ years of experience across technology, ecommerce, search, AI, and retail.
Founder Suresh Kodichath has held product leadership roles at Lowe’s, JCPenney, and Yahoo!, where he built and led ecommerce and technology products that drove significant revenue. At Yahoo!, he also worked on products for small businesses, including Yahoo! Local Search. View Suresh on LinkedIn →
A shared foundation that can scale
Centralize vendor catalogs, ecommerce capabilities, search and recommendations, shared measurement, and technology while supporting location-specific inventory, local visibility, services, campaigns, and customer journeys.
Rug retail
Rugs are highly visual, textual, and contextual. Shoppers depend on product words, images, size, shape, material, pattern, style, room layout, lighting, furniture, and personal taste together. Solving this well requires stronger search, recommendations, room understanding, visualization, catalog intelligence, and local discovery.
Furniture retail
Furniture brings many of the same hard retail problems at larger catalog scale: visual style, room context, materials, finishes, dimensions, collections, related pieces, vendor data, services, and showroom-to-online discovery. Discovery-AI applies the same connected discovery and growth foundation to furniture retail.
Experience that translates into practical retail tools
Discovery-AI combines software engineering, product management, ecommerce, search, discovery, recommendations, visual commerce, and conversational AI with hands-on experience building and operating ecommerce stores and digital-growth solutions.
Search & Discovery
Deep experience with search relevance, ranking, query understanding, navigation, recommendations, and product discovery.
Retail & Ecommerce
Experience building and operating ecommerce stores and digital shopping experiences, from large retailers to independent businesses.
Practical AI & Growth
Use AI, catalog operations, SEO, local visibility, analytics, and automation where they can improve customer experience and business outcomes without unnecessary hype.
Focused enough to go deep, built to scale
Discovery-AI is concentrating on rug and furniture retail—two visual, catalog-heavy categories where better store, product, and service discovery can directly support growth.