REAL at CoreNetMeet REAL at CoreNetOct 26–28ChicagoBooth #508
Meet UsBook a MeetingAcross every location, where to invest, where to consolidate, where to grow.
Get a dedicated demoNearly half of the portfolio’s unused space is concentrated in just 4 locations. After analyzing occupancy records and floor plans across 186 locations, Phoenix North accounts for the largest share at 17%, followed by Denver Central (13%), Atlanta East (10%), and Dallas Park (8%). Would you like me to explore consolidation or subleasing opportunities for these locations?
Each REAL agent is an expert in its domain, built to share context and act on what the others know. The more agents work in your portfolio, the more complete each one’s view of it becomes, and the stronger every decision your team makes.
The decision rests on each site read against its own lease calendar and performance: break clauses, leases over market, under-target performance, and foot-traffic trends. REAL models every keep, downsize, expand, and consolidate decision with real financial outputs, with each site read against its own lease, so the case is built before the window to act closes.
Rank the options by savings, feasibility, and timing rather than gut feel, then pressure-test the numbers before anyone signs. REAL ranks consolidation candidates and models the financial impact of each, so leadership commits capital against a validated scenario instead of an estimate.
Waiting for quarter close means acting a quarter late. Continuous monitoring per location catches the change when it happens. REAL keeps watch on every location and surfaces underperformance, risk, and over-market leases as they appear, so your team can act on them in real time.
Automation should do the analysis and assemble the case, while the call stays with your team. REAL turns live operational data from across the network into ranked, financially modeled options, then routes every strategic decision through human review before anything moves.
Start with one or two high-value workflows, connect the required data and documents, measure the result, then expand across domains.