Transform customer feedback into product roadmaps, reinvent shopping experiences with voice and context, and automate competitive intelligence — all with AI agents embedded into your stack.
Retailers sit on oceans of feedback, search data, and operational signals — but turning this into product and GTM decisions is slow. Category taxonomies are hard to navigate, competitor moves land overnight, and customers expect proactive, personal experiences.
An AI operating layer for retail: unify voice, text, and browsing signals; summarise with LLMs; enrich with agents; and trigger actions across ecommerce, CRM, and merchandising. From product development to pricing — in one loop.
Pull reviews, Q&A, returns reasons, search exits, CS tickets
Cluster loves/hates; detect friction, intents, and gaps
Generate PDP copy, bundles, and roadmap ideas from insights
Voice list building and contextual shopping via calendar & events
Automate competitor price tracking with margin‑aware alerts
Push changes to CMS, pricing, CRM journeys — with approvals
Consent‑first data use, role‑based access, PII minimisation, and audit logging. Pricing actions gated by approval workflows; experimentation tracked for uplift and holdouts.
"We finally act on what customers say — not months later, but in tomorrow's releases and campaigns."
Turn feedback into product, context into carts, and alerts into action — safely and at scale.