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PredictAP

Score8.5 out of 10

6 Reviews and Ratings

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What is PredictAP?

PredictAP is an AI-powered invoice capture solution purpose-built for real estate accounts payable. It saves time by eliminating manual data entry from invoice ingestion and coding, and integrates with AP automation solutions focused on real estate.

PredictAP uses historical invoice data and AI to identify coding patterns, and ingests, indexes, and codes invoices during upload, helping real estate AP organizations scale team capacity, boost compliance and visibility, and reclaim valuable time.


Categories & Use Cases

Key Features

Learn about the best (and worst!) features PredictAP has to offer, as determined by TrustRadius' reviewers.
Based on 6 ratings of PredictAP's features
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Top Performing Features

  • Advanced OCR

    Automatically imports information from invoices, receipts, expense reports, and other scanned documents into the platform.

    Category average: 8.5

  • Duplicate Bill Detection

    Detects duplicate invoices or expense reports to prevent double payments.

    Category average: 8.7

Areas for Improvement

Reviews

What users are saying about PredictAP.
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A product/company that delivers on its promises? Yes, it exists! It's called PredictAP.

Anthony Russo
Information Technology Manager in Information Technology at Crescendo Commercial Realty (11-50 employees employees)

Use Cases and Deployment Scope

We use PredictAP to read invoices and enter the data into our Yardi property management software. Rather than scan the invoice and then manually enter the data again like we used to do with PayScan, the team now just forwards the invoice to an email address, and 30 seconds later the information appears in a newly-created IR in Yardi.

Pros

  • Creating invoices in Yardi
  • Coding invoices in Yardi
  • Identifying suspected duplicate invoices

Cons

  • Daily digest of emails submitted by a user. There is currently one for the whole organization, but users just want to see their own broken out.
  • When invoices go into Yardi, the "created by" field should be the user's name who submitted, rather than "PredictAP". Would make searching in Yardi easier.

Return on Investment

  • Too soon to tell. We are still in trial phase.

Alternatives Considered

AvidXchange

PredictAP saves time on the front end of the AP Process

Leo Jacques
Controller in Finance and Accounting at LCB Senior Living, LLC (1001-5000 employees employees)

Use Cases and Deployment Scope

We deal with a large number of invoices spread over 35 assisted living communities and it was very time-consuming to key-punch all of that data each month. With the repetitive nature of some of these invoices, PredictAP reduced time spend on the keypunching of data in the first month of use. And that time savings increased as the system "learned" out AP coding

Pros

  • Inputting data such as Vendor, Invoice Number, Invoice Amount & AP coding

Cons

  • PredictAP charges based on invoices that are uploaded to their system. But that doesn't necessarily result in those invoices being pushed over to our accounting system due to duplicate invoices or other reasons.

Return on Investment

  • Our focus was on time-saving on the AP input side and we have experienced that savings.

Other Software Used

Yardi Senior Living

Coding in seconds

Verified User
Vice-President in Corporate (51-200 employees employees)

Use Cases and Deployment Scope

We utilize PredictAP to automate the ingestion of invoices into our payable process. PredictAP fully codes our invoices utilizing machine learning and AI.

Pros

  • Reduces our payable process from days to minutes
  • readily available historical records and vendor history
  • turns our AP process from an administrative function to a review function

Cons

  • ability to self administer

Return on Investment

  • has reduced actual time spent on coding by 50%
  • has eliminated the number of touches and forwards of invoices
  • reduced the full AP process to minutes from days

Other Software Used

Yardi Voyager, Prism by Building Engines, myCOI

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