Driving More Revenue for Retail & Mixed Use Real Estate
AI invoice coding transforms retail AP operations to increase visibility across locations, improve coding consistency, and enable informed decisions across complex portfolios.
TRUSTED BY LEADING RETAIL REAL ESTATE OWNERS & MANAGERS
Improve Retail Performance,
One Invoice at a Time
Turn spend visibility into stronger margins. PredictAP transforms retail and mixed-use AP into a scalable operation, helping your teams stay focused on driving leasing revenue rather than manually coding invoices.

AI Automated Invoice Coding for Retail Growth
As portfolios grow, retail teams must support more vendors, invoices, and properties without losing visibility into spend.
PredictAP fully codes invoices across your portfolio, improving GL coding accuracy, so you can confidently analyze spend, identify savings opportunities, and scale efficiently.
Invoice Capacity
Process more invoices as your portfolio grows—without adding headcount, risking burnout, or sacrificing the accuracy your team depends on.
Less Time per Invoice
Knock out invoice coding in 45 seconds. Move your teams beyond manual data entry to focus on catching errors and making an impact where it matters most.
Payback Period
With hands-on support throughout implementation and beyond, PredictAP helps ensure your teams continue to see value long after launch.
Focus on Leasing Revenue
Automate invoice ingestion and coding to eliminate repetitive work, so your retail teams can focus on retaining and attracting tenants.
See Spend As It Happens
Gain real-time visibility into operating expenses the moment invoices arrive, helping you strengthen budget control and accelerate payments.
Future-Proof Your Margins
With reliable financial data, retail teams can identify cost-saving opportunities, strengthen budget control, and lower the cost of processing every invoice.
We are learning some different things with some of our properties. We’re starting to be able to see more of our consistency in invoices and be able to see which properties usually have more of an issue on missing things and which ones don’t.
Alicia Pulley
AP Manager, PEG Companies
Before PredictAP, we were having to download our invoices, trying to process them within a given timeframe, while also working in an office with other people needing other tasks done. We were being pulled in every direction and didn’t have much free time to breathe sometimes.
Sarah Jacobs
AP Specialist, Whitestone REIT
One of the benefits of having a system of record is you can look to the past to learn from history as a new AP person. PredictAP accelerates and formalizes this. And that institutional knowledge doesn’t just stay with one person.
Jon Clark
Director of Financial Systems Administration, Bridge Investment Group
We had individuals basically getting invoices, tracking the invoices, inputting the invoices into Yardi, et cetera. All of that initial front-end stuff is now being done by an Al tool. That's where you are starting to get the scale benefits.
Sumit Roy
President & CEO, Realty Income Corporation
Purpose-Built for Real Estate
Easy Implementation
Hands-Free Invoice Data Entry
One-step invoice ingestion and coding at scale, PredictAP delivers fully coded invoices to your approval system.
Streamlined Exception Handling
Enhanced Detection
Enterprise-Grade Data Security
Transforming Retail AP
Client Stories
Cutting Down on Invoice Processing Time
Turning 25% Savings into AP Team Raises
Servicing All Asset Classes
About PredictAP
PredictAP is the leading AI-powered invoice coding solution designed specifically for real estate. Unlike OCR and indexing services, PredictAP provides fully coded invoices, ready to flow through existing AP automation workflows. When paired with industry-leading AP automation solutions, such as Yardi Payscan and Nexus Systems, PredictAP delivers massive cost savings and productivity growth.
Founded in 2020 by a team of real estate, accounting tech, and artificial intelligence industry alumni, PredictAP is based in Boston, Massachusetts. Visit www.predictap.com to learn more.