Evoneer launches Store Assistant AI, its first GenAI copilot built specifically for SMB furniture retailers. Designed for the sales floor, the conversational assistant delivers fast, reliable answers through a simple chat interface, helping teams serve customers quickly and manage operations more efficiently.

Purpose-built for modern retail, Evoneer connects store teams to critical information — product specs, availability, pricing, and delivery timelines — instantly and in natural language.

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Purpose-built for modern retail, Evoneer connects store teams to critical information — product specs, availability, pricing, and delivery timelines — instantly and in natural language. Staff can ask a question and get a clear response within seconds, without leaving the customer or switching systems.

Furniture retailers often face fragmented tools and disconnected data. Inventory, sales, and catalog information are distributed across legacy platforms, often making simple tasks complex. Evoneer addresses this by creating a unified, AI-optimized layer that consolidates data and delivers actionable answers on demand.

Designed for real-world environments, Store Assistant AI integrates seamlessly with platforms like STORIS and Ashley Direct, unifying data across sales, inventory, and product systems. The assistant reduces training time, streamlines workflows, and keeps teams focused on the customer.

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Key Features Include:

  • Schema-agnostic ingestion for structured and unstructured data
  • Retail-specific mapping that reconciles vendor and internal terminology
  • Privacy-first, modular architecture with fast onboarding

“Retailers aren’t struggling because of a lack of data — they’re struggling because accessing that data takes too long,” says Pedro H Moras, Co-Founder of Evoneer. “Store teams spend hours piecing together answers from disconnected systems. Evoneer brings clarity and speed to the floor — helping people stay present, respond faster, and build trust in the moment.”

Evoneer’s AI copilots don’t just answer questions — they also guide next steps, like locating items, comparing specs, or checking availability. The results are faster service, smoother workflows, and better customer experiences.

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Source – businesswire

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