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Infometry launches conversational analytics for retail

3 hours ago
By AI, Created 21:01 UTC, Aug 11, 2026, AGP -

Infometry has launched INFOFISCUS Conversa for Retail, a business-context-aware analytics platform that lets retailers ask questions in natural language and get root-cause analysis, visualizations and recommended actions. The product is available now and is aimed at speeding up decisions across retail, wholesale, consumer goods and eCommerce operations.

Why it matters: - Retail teams often spend hours or days explaining a change in sales, margins, inventory or customer behavior. - INFOFISCUS Conversa for Retail is designed to shorten that path from question to decision by letting business users query governed enterprise data directly. - The product targets retailers, wholesalers, consumer goods companies and eCommerce organizations that already operate across multiple data systems.

What happened: - Infometry announced INFOFISCUS Conversa for Retail on August 11, 2026. - The platform brings business-context-aware conversational analytics and decision intelligence to retail operations. - Infometry said the product is available now. - The company is offering executive demonstrations for organizations that want to test the platform on real retail scenarios. - More information is available in the company’s announcement.

The details: - Conversa lets users ask complex retail questions in natural language. - The platform returns trusted answers, visualizations, root-cause analysis and recommended actions. - Users do not need SQL knowledge, database structure knowledge or dashboard navigation to use the system. - The product is built to work across POS, ERP, eCommerce, CRM, order management, warehouse management, merchandising, inventory, demand planning, supply chain, finance, cloud data platforms and enterprise databases. - The platform includes natural-language analytics, retail-aware terminology, multi-turn conversation, cross-system and federated data access, automated visualizations, executive summaries, root-cause analysis, AI-assisted recommendations, governed query generation, role-based security, enterprise governance and retail-specific KPIs and business rules. - Infometry says Conversa is designed to complement existing enterprise data investments rather than replace current data platforms. - The company also says the product uses enterprise metadata, semantic definitions, business terminology, relationships, governance and security to interpret questions in context.

Between the lines: - The launch reflects a shift from dashboard-first reporting toward decision-driven analytics. - Retailers can now move from identifying a metric change to asking follow-up questions in the same workflow. - The product aims to reduce reliance on analysts for routine investigation and free data teams for higher-value work. - The pitch is not just faster reporting. It is faster explanation, faster prioritization and faster action.

What's next: - Retailers, wholesalers, consumer goods companies and eCommerce organizations can request an executive demo. - Infometry is positioning Conversa as a layer on top of existing enterprise data environments. - Adoption will likely depend on how well the system answers multi-step business questions inside real retail workflows.

The bottom line: - Infometry is betting that retail analytics is moving from static dashboards to conversational decision intelligence.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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