The operator ran 50+ industrial sites, each with its own leasing, occupancy, and financial data sitting in separate systems and spreadsheets. Producing a single portfolio-wide picture meant a small team stitching numbers together by hand every month — roughly three days of reconciliation per cycle. By the time the report was done, leadership was already looking at month-old data, making leasing, capex, and capital decisions on a lagging, partial view.
OutcomeCatalyst connected every site's systems into one continuously-updated source of truth with a queryable layer on top. The portfolio view now assembles itself, and anyone can ask a question and get a current answer — with no manual consolidation and no waiting for the monthly close.
OutcomeCatalyst started from the operator's monthly bottleneck: 50+ industrial sites each held leasing, occupancy, and financial data in separate systems and spreadsheets, reconciled by hand every cycle over roughly three days. Rather than make the manual close faster, the team removed it. They connected every site's systems into a single, continuously-updated source of truth, then layered a queryable interface on top so the portfolio view assembles itself. Once the data was unified, staff could ask a question in natural language and get a current, portfolio-wide answer instead of waiting for the next monthly report. That moved leadership off month-old, partial data and onto live numbers for leasing, capex, and capital decisions. The build proved durable enough to become an operating backbone the client continued to expand on.
Multi-site operators (real estate, industrial, retail) whose leasing, occupancy, and financial data is fragmented across site-level systems and reconciled by hand each month.

The team unified all 50+ sites' leasing, occupancy, and financial systems into one continuously-updated source of truth with a query layer on top. Manual month-end consolidation disappeared, taking monthly reporting from about three days to same-day — 85% less reporting time.
The work centered on data synthesis and reporting with a queryable, natural-language search layer (a RAG-style approach) built over a single unified source of truth spanning all 50+ sites' systems.
Three outcomes: monthly reporting dropped 85% (from about three days to same-day), 350+ analyst hours were reclaimed each year, and leadership now makes leasing, capex, and capital decisions off live numbers instead of month-old data.
About 12 weeks from kickoff to live.
Multi-site operators in real estate, industrial, or retail whose leasing, occupancy, and financial data is fragmented across site-level systems and reconciled by hand each month.