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Evoneer Launches Store Assistant AI for SMB Furniture Retailers


Evoneer Launches Store Assistant AI for SMB Furniture Retailers
  • by: Business Wire
  • |
  • July 1, 2025

Evoneer, a Fort Lauderdale-based tech company, announced the launch of its Store Assistant AI on June 30, 2025, designed specifically for small and medium-sized business (SMB) furniture retailers. This generative AI copilot, built for the sales floor, delivers instant, natural-language answers to streamline operations and enhance customer experiences by unifying fragmented data systems.

Quick Intel

  • Store Assistant AI launched June 30, 2025, for SMB furniture retailers.

  • Integrates with platforms like STORIS and Ashley Direct for seamless data access.

  • Features schema-agnostic ingestion and retail-specific data mapping.

  • Reduces training time and operational complexity with a privacy-first design.

  • Enables faster customer service and smoother workflows via chat interface.

  • Backed by $6.5M in funding from investors like Techstars and 500 Global.

Streamlining Retail Operations

Furniture retailers often grapple with disconnected data across legacy systems, complicating tasks like checking inventory or pricing. “Retailers aren’t struggling because of a lack of data — they’re struggling because accessing that data takes too long,” said Pedro H Moras, Co-founder of Evoneer. Store Assistant AI addresses this by consolidating data from platforms like STORIS and Ashley Direct, providing instant answers on product specs, availability, pricing, and delivery timelines through a simple chat interface.

Key Features

  • Schema-Agnostic Data Ingestion: Processes both structured and unstructured data seamlessly.

  • Retail-Specific Mapping: Reconciles vendor and internal terminology for clarity.

  • Privacy-First Architecture: Ensures secure, modular integration with fast onboarding.

  • Actionable Guidance: Guides staff on next steps, such as locating items or comparing specs.

These features reduce training time, minimize busywork, and keep staff focused on customers, improving service speed and trust.

Market Context and Impact

The retail AI market is growing rapidly, with 60% of Indian retailers planning to adopt AI by 2030 for personalization and efficiency, a trend mirrored globally. Evoneer’s solution aligns with this shift, offering SMBs a competitive edge against larger retailers like Amazon and Walmart, whose AI assistants like Rufus and Sparky are reshaping e-commerce. Unlike general-purpose AI tools, Store Assistant AI is tailored for furniture retail, addressing specific pain points like fragmented systems and complex workflows.

Evoneer, founded in 2024, has raised $6.5M from investors including Techstars and 500 Global, enabling rapid development and deployment. The company’s focus on SMBs fills a gap left by enterprise-focused solutions, with early adopters reporting up to 30% faster customer query resolution and 20% reduced operational overhead.

Industry Relevance

The launch comes amid a broader retail tech transformation, with companies like Walmart and Carrefour deploying AI to enhance in-store experiences. Evoneer’s privacy-first, modular approach positions it to capture the growing demand for AI-driven retail tools, particularly for SMBs underserved by complex, enterprise-grade systems. Posts on X highlight enthusiasm for Evoneer’s potential to “revolutionize SMB retail” with its intuitive design and practical applications.

Evoneer’s Store Assistant AI empowers SMB furniture retailers to deliver faster, more efficient service, bridging the gap between fragmented data and real-time decision-making. As retail continues its AI-driven evolution, Evoneer is poised to lead innovation for smaller businesses.

 

About Evoneer

Evoneer is a GenAI platform built for the unique needs of SMB furniture retailers. Its first product, Store Assistant AI, helps store teams deliver faster service, streamline operations, and make confident decisions by connecting fragmented systems and surfacing the right information instantly.

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