# AI Retail Experts Ant by 11Ants Supports Faster, Evidence-Led Decision-Making By Laura McQuarrie | Published 2026-03-05 | Tech Source: Trend Hunter, https://www.trendhunter.com/trends/ant-by-11ants References: [businesswire](https://www.businesswire.com/news/home/20260304043614/en/11Ants-Launches-Ant-to-Give-Retailers-Faster-Evidence-Led-Decision-making-with-AI-Expertise) & [11ants](https://www.11ants.com/)  Ant by 11Ants, the AI-powered Retail Intelligence platform, is a new [AI Retail Expert](https://www.trendhunter.com/trends/Retail-AI) designed to help grocery and retail teams get support and recommended next actions rooted in relevant context and data. “For years, [retail decision‑making](https://www.trendhunter.com/trends/ai-decision-engine) 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](https://www.trendhunter.com/trends/timi-ai), 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 Insights (Trend Hunter) - Score: 5.6/10 - Popularity: 49% | Activity: 53% | Freshness: 65% - Audience gender: 50% men, 50% women - Primary generations: Millennial, Gen X - Top markets: North America ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [AI](https://www.trendhunter.com/ai) ## Key Themes ### What Makes This Trend Stand Out - **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. ### Sectors Adopting This - **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. ## Related on Trend Hunter - [AI Grocery Assistants](https://www.trendhunter.com/trends/albertsons-3.md) - [AI-Powered Home Improvement Experiences](https://www.trendhunter.com/trends/collaboration-with-google-cloud.md) - [Agentic AI Shopping Layers](https://www.trendhunter.com/trends/Commercetools-AgenticLift.md) - [Retail-Focused AI Assistants](https://www.trendhunter.com/trends/rollick-ai-assistant.md) - [AI-Powered Takeout Voice Assistants](https://www.trendhunter.com/trends/just-eat-ai-voice-assistant.md) - [Agentic Retail Platforms](https://www.trendhunter.com/trends/levi-strauss.md) - [Data-Driven Automotive Retailer Tools](https://www.trendhunter.com/trends/automotive-retailer.md) - [AI-Powered Retail Analysts](https://www.trendhunter.com/trends/marketing-agent.md) - [Agentic Commerce Recommendation Platforms](https://www.trendhunter.com/trends/agentic-commerce-recommendation.md)