Zitec

You have the dashboards, the warehouse, or even the recommendation engine and forecasting model running. So why does the real impact, like the margin gain or the cost saved, keep staying just out of reach? 🤔

It usually comes down to one thing that is easy to miss. The data was built to explain the past, not to predict what happens next.

There is such a thing as having analytics-ready vs. AI-ready data. 👇

Analytics-ready data answers "what happened" by compressing everything into totals and KPIs. AI-ready data answers "what will happen" by expanding that same data into sequences, behavior, and context.

Recently, we've held a webinar with Google about AI in retail, and the findings are worth noting.

In the first session of our webinar with Google, Radu showed how retailers make that move. It starts with the Medallion architecture, structuring data into Bronze, Silver, and Gold layers, and it really takes off when you reach semantic-rich data that understands the customer journey over time, rather than just sales per day.

Adi's full session is available now. Just type 'webinar' in the comment section, and we will send it to you right away. 👇