Project
Implementation of a PIM system to consolidate real estate asset data
Year
2024-2025
Client
The developer Rublevo-Arkhangelskoye, which is delivering SberCity, a new business and residential district in western Moscow. The project includes 2.5 million m² of housing, 837,000 m² of office space, a cottage community, 150 hectares of green areas, and social infrastructure.
The situation at the start of the project
The client had several disconnected IT systems: the sales department CRM, the property management company CRM, a separate service for billing and sending documents to the property management company CRM, and internal services with technical asset specifications and architectural plans from the developer. Each of these systems stored its own part of the information, while some of it was scattered across internal Excel files that were updated manually.
There was no single source of current real estate asset data, which slowed work, increased risks, and hindered scaling. The need to consolidate and systematize information became critical.
The challenge
- There was no single data management hub. Information on area, price, cadastral value, and other characteristics of apartments, storage units, and parking spaces was scattered across different systems and Excel files, with no way to update it centrally. At the same time, prices were changing constantly, and a system was needed that would allow the data to be updated quickly without fully reloading the asset.
- Continuous data updates. Against the backdrop of a highly dynamic market, data was changing literally every hour, especially prices and areas. It was important to have a system that could store this data centrally and update it quickly without having to manually rebuild the entire asset.
- High risk of errors. Data changes were entered manually, which led to inconsistencies between departments and mistakes in customer communications. Sales managers were not always confident that the terms they were offering were up to date.
- Inability to scale. Any change had to be entered manually into spreadsheets, which slowed work, distracted employees from their core tasks, and increased the likelihood of errors.
Business Outcome
All real estate asset data, including areas, prices, statuses, and payment terms, is stored centrally in the PIM system and automatically updated across all connected systems.
Sales managers work with up-to-date information and can instantly provide customers with current prices, while after the building is commissioned, accurate area data is automatically transferred to billing systems. This eliminates errors when generating invoices and increases owners' trust in the service.
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Business request at the start
Consolidate real estate asset data in a single digital environment to eliminate manual work and discrepancies between systems.
Project goal at the start
Deploy a PIM system based on Pimcore as the master data system and integrate it with internal IT systems.
Development time
1 year from kickoff to operational readiness.
Result
Now all changes to real estate assets are entered and updated directly in the PIM.
Main stages of the real estate asset lifecycle in Pimcore Sbercity\_Tasks.png
For example, when a new storage unit appears, it is entered into the PIM, sold through the CRM, and after the building is commissioned, the developer's system automatically sends the actual area data. It replaces the planned figures, and the updated information is then used to generate invoices in the property management company's CRM.
All information is collected in one place, change dates are recorded, and any issue can now be resolved quickly without wasting time searching for scattered data across multiple systems.
Technology stack
The project was built on Pimcore.
Comment from the KT.Team team
“This project became part of our growing expertise in development. Today, more and more developers are recognizing the need to implement PIM systems to manage data centrally, reduce operational risks, and scale the business without compromising quality. We see how a unified data system helps developers build resilient digital processes, and we are ready to be a technology partner in this direction.”
