Client:
Tapi
Tapi’s property maintenance software simplifies property maintenance by integrating all parties involved in the maintenance process and by keeping them on the same page. Through this enhanced communication, tapi makes it easy for property managers to take care of maintenance and repairs which means owners, tenants and service providers have a great experience in and around rental homes. Based out of Wellington, New Zealand, Tapi helps maintain 110,000 properties and is expanding rapidly
We have had a great experience with Nanonets, the platform is reliable, easy to use and flexible along with excellent customer support from the team. Nanonet's AI solution has unlocked massive gains in savings and productivity for Tapi.
The Challenge
Tapi is focused on improving efficiency in the property maintenance system and processing invoices manually was a major bottleneck in the turnaround time. They work with over 200 agencies and generate over 100,000+ invoices per month corresponding to property maintenance related activities They outsourced the data entry job to a third party but found the model was unscalable and could not keep up with the rapid growth of Tapi.
Their team needed a reliable platform powered by artificial intelligence that could extract specific fields from the invoices with primary features being:
1. User friendliness: Easily maintained by anyone
2. Ease of integration: Quick turnaround for integrating the software
3. Flexibility: Able to work with new integrations
The value add of Tapi is efficiency gains, if we are doing invoice processing manually we aren’t saving much time
The Solution
Nanonets’s AI tool- Invoice OCR captures information from invoices and sends it to Tapi. Tapi trained the AI to extract required information from the invoices, post which they perform checks to ensure if all fields are populated correctly and in line with expectations. The AI is highly efficient and pulls the required information correctly 94% of the time, and this is expected to improve over time by continuing to train Nanonets platform with new invoices.
Nanonet’s integration was up and running in a week and it is currently maintained by a non-technical staff member who is able to quickly add new integrations and add new capabilities in capturing invoices for Tapi which were not previously possible. Nanonets has been up and working all the time and any issues were resolved in ~15 mins providing the high reliability that Tapi required.
