Retail TouchPoints published an executive viewpoint by Arun Kumar, Global Head of Product and Industry Practice at Altimetrik, titled “Why Smaller, Smarter AI Models Are Giving Retailers an Edge.”
In the article, Arun explains that while agentic AI adoption is accelerating across retail, large language models often fall short in environments driven by structured product, pricing, and operational data. He highlights how SLMs trained on a retailer’s own catalogs, hierarchies, policies, and loyalty data deliver greater accuracy, reduce hallucinations, and enable reliable decision-making across marketing, ecommerce, customer support, and in-store operations.
Arun outlines a practical approach to building retail-specific models, emphasizing that competitive advantage comes not from the biggest AI model, but from the most relevant one trained to reflect how the business actually operates.
Altimetrik partners with Google Cloud to launch a Gemini Enterprise capability center, enabling production-scale AI agents and accelerating enterprise AI transformation globally.
A landmark HFS Research and Altimetrik study of 505 Global 2000 executives exposes a critical AI governance gap only 14% of enterprises have a clear AI strategy, and most lack defined human accountability when AI makes decisions. Here’s what it means for your organization.
DETROIT — April 8, 2026 — Across enterprises, AI shapes hiring decisions, influences capital allocation, triggers compliance actions, and steers operational trade-offs at a scale no executive team can realistically supervise. A new report from Altimetrik, in partnership with HFS Research, finds that the vast majority of enterprises have deployed AI without answering a fundamental […]
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