What is the trend of evidence-led retail decisioning?

Shifting decision workflows from dashboard-scrubbing to problem-led, evidence-backed answers creates opportunities for AI systems that generate context-rich recommendations tied to measurable impact.

What is the trend of conversational ai for operations?

Natural language interfaces that field operational questions and compare scenarios can reduce time-to-insight and enable continual scenario planning across merchandising and supply chain teams.

What is the trend of unified retail data fabric?

Combining loyalty, POS, inventory, and financial systems into a single cloud-based layer enables novel analytics and cross-domain forecasting capabilities that were previously siloed.

What are the implications for the grocery chains industry?

Large-format grocers with complex assortments and tight margins can leverage AI experts to surface localized assortment, pricing, and promotion strategies informed by store-level signals.

What are the implications for the retail analytics providers industry?

Vendors focused on analytics can evolve into conversational intelligence platforms that explain causal drivers and trade-offs rather than only delivering static reports.

What are the implications for the point-of-sale system vendors industry?

POS vendors that integrate deeper with loyalty and inventory data can extend into decision-layer services that contextualize transactions for real-time operational guidance.

AI Retail Experts : ant by 11ants

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Ant by 11Ants Supports Faster, Evidence-Led Decision-Making

Laura McQuarrie — March 5, 2026 — Tech

References: 11ants & businesswire

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Ant by 11Ants, the AI-powered Retail Intelligence platform, is a new AI Retail Expert designed to help grocery and retail teams get support and recommended next actions rooted in relevant context and data. “For years, retail decision‑making meant pulling reports and navigating dashboards to piece together an answer,” said Tom Fuyala, CEO of 11Ants. “Ant flips that model. You start with the problem you’re trying to solve, and it brings back the evidence, context and actions while those actions will still have impact.”

11Ants connects loyalty, POS, inventory, budget and other core systems into a single cloud-based Retail Intelligence platform, and Ant sits on top as an always-on resource that fields questions, compares scenarios, and explains why things are likely panning out in a certain way.

Trend Themes

Evidence-led Retail Decisioning — Shifting decision workflows from dashboard-scrubbing to problem-led, evidence-backed answers creates opportunities for AI systems that generate context-rich recommendations tied to measurable impact.
Conversational AI for Operations — Natural language interfaces that field operational questions and compare scenarios can reduce time-to-insight and enable continual scenario planning across merchandising and supply chain teams.
Unified Retail Data Fabric — Combining loyalty, POS, inventory, and financial systems into a single cloud-based layer enables novel analytics and cross-domain forecasting capabilities that were previously siloed.

Industry Implications

Grocery Chains — Large-format grocers with complex assortments and tight margins can leverage AI experts to surface localized assortment, pricing, and promotion strategies informed by store-level signals.
Retail Analytics Providers — Vendors focused on analytics can evolve into conversational intelligence platforms that explain causal drivers and trade-offs rather than only delivering static reports.
Point-of-sale System Vendors — POS vendors that integrate deeper with loyalty and inventory data can extend into decision-layer services that contextualize transactions for real-time operational guidance.

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