Boost your tenant satisfaction rates and optimize your property leasing
“Okapi was immediately adopted, easily used and our staff loved it at the operational level. This technology has so much potential, and we’ve only just scratched the surface.”
Cheryl Gray, Executive Vice President, QuadReal Property Group
Draw actionable insights from sensors and existing IT systems
Improve
tenant
satisfaction
Optimize
rent
& occupancy
Slash
vendors, energy,
maintenance, and
staffing costs
Tenant
Satisfaction
Power of AI
Each tenant expects timely, quality service, even when you have thousands of individuals across multi-campus enterprises. Okapi identifies changes in normal behavior and identifies the underlying problems. Looking at significant areas such as completion time, response time and more, property managers can see at a glance both the ‘Big Picture’ of every job site, as well as the granular detail of each tenant’s satisfaction rates and their root causes.
Preventative
Maintenance
Working in crisis mode can be expensive and stressful. Okapi’s Predictive Analysis allows you to plan for any eventuality, enabling you to proactively fix pressing issues. Your staff is given a tool to ensure ongoing equipment monitoring that solicits proactive maintenance activities before a breakdown even occurs, thus substantially reducing costs.
Resource
Management
Leverage AI to analyze the relationship between the workload and your team capacity, accurately assigning staff and resources to each project. Create benchmarks across your portfolio to recognize the resources that are beneficial to your bottom line, helping establish relevant vendor relationships and identifying the trends that can be used to your advantage.
Cashflow
Planning
Tracking cash flow is essential in commercial real-estate, as any deficiencies can affect your ability to take on the next acquisition. With Okapi, you can monitor more than just ERP systems; predict changes to customer payment behavior, track recurring payment delays, and alert the business on behaviors that could affect the company’s cash flow ahead of time.
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