Storeganise launches AI connector for self-storage data
Storeganise has launched an AI Connector for self-storage operators, creating a direct link between live operational data and general-purpose AI tools.
The add-on lets operators connect their Storeganise accounts to services including ChatGPT and Claude, then ask questions about occupancy, pricing, revenue and site performance in plain English instead of using dashboards or exported spreadsheets.
Storeganise describes it as the first direct AI connector offered by a self-storage software provider. The launch is intended to address a gap between the growing use of AI in analytics and pricing and limited direct access to live operating systems.
The company said its platform is used by more than 1,300 facilities across 50 countries, although background information released with the launch said the wider platform serves more than 1,400 facilities worldwide.
How it works
The connector is built on the Model Context Protocol, or MCP, an open standard that allows AI tools to communicate with external software. Operators install it as an add-on in their account, link it to their chosen AI tool, and then query their data directly.
The current version is focused on querying and reporting. According to Storeganise, the AI tool receives read access to operating data including sites, units, unit types, rentals, invoices, payments, customers, move-in and move-out records, action histories and system settings.
The software is designed to work with AI tools that support MCP rather than tie users to a single provider. Storeganise said this could also allow operators to combine data from their storage software with information from payment, marketing, accounting and other business systems within a single AI conversation.
That matters because self-storage operators are already adopting AI in large numbers. Storeganise cited the FEDESSA/CBRE 2025 European Self-Storage Report, which found that 90% of European operators already use AI tools for pricing and analytics.

Reporting shift
Storeganise is positioning the connector as a new reporting interface rather than a replacement for core management software. According to the company, operators can ask for analyses such as revenue per square foot across sites, pricing gaps by unit type, 12-month occupancy trends and comparisons between locations.
Examples provided by the company included analysing move-in and move-out data over six months, identifying underperforming units, projecting the time needed to reach 90% occupancy and suggesting steps to improve performance.
"Operators already use AI tools every day. What they haven't been able to do until now is point those tools at their actual business data," said Miles Davison, co-founder of Storeganise. "Now they can. Any question, any analysis, in plain English, answered in seconds from their live operations."
The launch also reflects a broader software trend in which specialist business platforms link their data to general-purpose AI models through open protocols. That approach allows companies to use mainstream AI products as an interface for business analysis instead of relying solely on fixed reports and templates built into software packages.
The connector is available through Storeganise's add-ons marketplace, which also includes integrations for payments, access control, accounting, insurance and communications. According to the company, the marketplace won a FEDESSA innovation award in 2023.
Charles Davison outlined the rationale for the product in a second statement. "We built the AI Connector because it opens up an entirely new dimension of what operators can do with their Storeganise data," he said. "Every question you've wanted to ask about your business but didn't have a quick way to answer, now you just ask."