Case Study: SNCF Immobilier achieves automated energy management for 33,000+ buildings with Deepki

Implementing an energy management approach for 33 000+ buildings

SNCF Immobilier engaged Deepki to implement an energy management approach across its 33,000+ buildings. Facing the need to outsource collection of environmental data (energy, water), centralize consumption data, attribute building-level consumption accurately for re‑invoicing, and help achieve a 50% reduction in building CO2 emissions between 2015 and 2030, SNCF Immobilier turned to Deepki’s data-driven ESG platform and the Deepki Ready application.

Deepki outsourced and automated asset, technical and energy data collection, created a metering plan and portfolio map, implemented algorithmic load-curve analysis and real‑time alerts (overconsumption, leaks, contracted‑power overruns), and trained users on the tool. Results include significant time savings, +700,000 invoices collected from 900 suppliers, automatic collection from 30+ suppliers, 75% of 25,000 delivery points collected automatically, 56,000+ electricity alerts, 13,500+ water alerts, 7,500+ gas alerts, ongoing automation improvements, and strong adoption of Deepki Ready (≈600 daily connections and 440+ recurring users), enabling more accurate re‑invoicing and scaled emissions monitoring.

SNCF Immobilier

Julien Adam

Energy Transition Manager