True business transformation requires more than AI tools. At @MyTotalRetail, @PrashantTweeted explored why rising #AI investment in retail isn’t translating into measurable software delivery improvements. 👉Full report in The Agentic Retail Imperative. bit.ly/3VJltTx

AI shopping agents skip products with messy data. Your catalog isn't uncompetitive, it's invisible. Leaders are moving to a "golden catalog": semantic attributes, automated supplier ingestion, validation before AI sees errors. More in the full report 👇 bit.ly/3VJltTx

🛒For #retail leaders, the hard part isn't launching a conversational experience. It's making sure the architecture underneath can give AI accurate, contextual, trustworthy information to work with. More in The Agentic Retail Imperative report 👉 bit.ly/47iWLMh

Key takeaway from @ItronInc Inspire 26. Meter data management is evolving beyond meter-to-cash into a connected data foundation supporting operations, planning, analytics and customer service. Which team in your utility could do more with the meter data you already collect?

6/6 Which brings us to a clear pattern across all 3 days: Retail transformation is no longer a project with a fixed end state. Want the full breakdown? Download the full report, 📥bit.ly/3VJltTx #AgenticAI #Retail

5/6 Tools alone don’t create value. AI Orchestration and operating models will. The organizations winning with AI are moving to operating models powered by connected data, governance, and intelligent agents working as one.

4/6 So how do you build and ship fast enough to keep up? An AI-native software factory: governance, engineering intelligence, and measurement working together to turn AI investment into real business outcomes.

3/6 But as #AI mediates the interaction between shoppers and brands, one thing matters more than ever: trust. Retailers that own the first-party relationship and the community around it will stay visible when AI intermediates the journey.

2/6 ⚙️If an AI agent can’t understand your catalog, your products don’t exist. Structured, machine-readable, AI-ready data isn’t a nice-to-have anymore. It’s your new storefront.

1/6 First: customer discovery is becoming decision support. Shoppers no longer type keywords. They describe what they need, and AI helps them decide. #Retailers who optimize only for search are optimizing for yesterday’s journey.

0/6 🛒3 days at @MyTotalRetail 2026. 6 key learnings. 1 clear pattern. AI is no longer an emerging capability. The future belongs to retailers that can learn, adapt, and operationalize AI faster than the market changes.