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If you want a return on any retail AI investment, start here. Download the playbook for free: https://lnkd.in/gWGjPPbM Retailers everywhere are rushing to adopt AI but most pilots crash and burn (your investment dollars). Why? Because teams too often evaluate AI based on vendor promises instead of operational reality. This playbook from Trustana breaks down: • The biggest traps retailers fall into • A 7-dimension framework for scoring any retail AI tool • How to prep your data foundation to ensure ROI • What KPIs actually matter and how to track them • A scorecard your team can use immediately

Want retail AI to deliver real ROI? Start with your data and download the free AI readiness guide now: https://lnkd.in/gVY2aGjE Most retailers try to slap AI on top of incomplete, inconsistent, or outdated product data. It's a recipe for failure. Retail AI doesn’t fail because of the model. It fails because of the data. Avoid the trap with our guide to: • The five pillars of AI-ready data • Why 80%+ of pilots underperform • How mid-market teams can clear SKU backlogs and automate enrichment • Global readiness requirements: catalog localization, compliance, units, vocabulary • Tomorrow’s AI use cases: generative PDPs, multimodal search, agentic commerce

Every retailer is trying to leverage AI in a meaningful way and they face the same question: Build or buy? This free AI evaluation guide has the answer: https://lnkd.in/gWGjPPbM The right answer: both. But only for the right reasons and you have to know where to look inward versus vendors. That's why we put together a practical playbook on how to evaluate retail AI and where to put your investment dollars. Our playbook breaks down the whole evaluation process, including: • When to build • When to buy • How to weigh cost, data maturity, and ROI • Why hybrid models drive the best results

Fewer than 20% of AI pilots succeed. Why? Their product data is too weak to build on. Ensure success with Trustana's AI-readiness guide: https://lnkd.in/gVY2aGjE The cost of ignoring it is high: fewer conversions, flawed recommendations, and more returns. Fortunately, getting it right is easy and leads to faster product launches, higher ROI, and a competitive edge. This guide shows you how to build an AI-ready product data foundation that gets the sale now and prepares you for what’s next.

Get your catalog ready for any retail AI use case Download the free guide now: https://lnkd.in/gVY2aGjE Retailers are told AI is a magic bullet to more sales, but reality paints a different picture: • Only 14% are satisfied with their AI ROI (Forrester) • Fewer than 20% of initiatives reach scale (McKinsey) • Global conversion rates remain stuck at 2–3% The problem isn’t the AI. It’s the product data feeding it. Retailers need to understand they're missing an essential foundation to unlock AI's full potential: • Completeness • Accuracy • Consistency • High-quality imagery • Governance frameworks

Struggling to tell which AI vendors are hype and which actually deliver on YOUR needs? Download the free Retail AI Evaluation Playbook: https://lnkd.in/gWGjPPbM We've put together a comprehensive framework on how to evaluate retail AI software. This playbook shows retailers how to: • Score AI tools objectively • Avoid the “perfect demo” trap • Evaluate accuracy, data compatibility, and integrations • Prep your catalog for measurable ROI • Run a 30–60–90 day pilot that proves value AI isn’t magic and figuring out what actually works doesn't have to be a headache.