Elektramat's AI & data migration with Google Cloud

Elektramat and Nextnovate are working together on executing one of the most ambitious digital transformations in the electrical wholesale sector: bringing all data, systems, and commerce capabilities in-house, powered by Google Cloud. At Google Cloud AI Live in Amsterdam, Techzine sat down with Maarten Koster, Director of Cloud and Data at Nexnovate, and Ennio Brands, Technology Manager at Elektramat. Elektramat started with scattered data spread across multiple vendors and databases, with no clear picture of data quality or even who their customers actually were. The journey to a single source of truth required rigorous data modeling, pipeline architecture, and a shift from reactive dashboard delivery to a strategic, ownership-driven data culture. Today, Elektramat has already launched its first AI-powered customer service agent, live on its website, and is actively exploring Gemini Enterprise to empower employees across the business. Maarten and Ennio also share candid insights on the tension between moving fast and making the right architectural decisions, the risk of an unfinished project landscape, and why Elektramat's lack of heavy legacy debt is one of its biggest competitive advantages right now. 🔑 Key takeaways: • Elektramat migrated from fragmented, vendor-held data to an in-house single source of truth • Data modeling and mapping flows was the critical first step before any AI work could begin • AI is already live: a customer service agent handles routine order inquiries autonomously • The market is shifting from dashboard-driven BI to action-based, event-triggered workflows • Gemini Enterprise is being explored to let business users build their own AI solutions safely • Speed matters, but finishing projects and making the right architectural choices matters more • Minimal legacy debt means Elektramat can iterate and rebuild in days, not years ⏱ Chapters: 0:05 - Welcome: Google Cloud AI Live Amsterdam 0:34 - Introducing Electromot: B2B and B2C wholesaler 1:14 - The migration journey: tackling scattered data 2:25 - Building the foundation while delivering AI value 3:43 - Data modeling and the single source of truth 4:19 - Quick wins: identifying clients and key accounts 5:49 - From dashboards to action-based AI workflows 7:11 - First AI customer agent live on the website 8:09 - Employees building with AI and Gemini Enterprise 9:24 - Balancing speed with making the right decisions 12:24 - No heavy legacy: iterating fast in a modern stack 🔎 Keywords: Google Cloud, AI transformation, data migration, single source of truth, Elektramat, Nexnovate, Gemini Enterprise, customer AI agent, data platform, wholesale digital transformation, BI to AI, action-based workflows