Electrical Parts Manufacturer Ups it's RFP Response Through Automation

An electrical parts manufacturer bids on RFPs for major construction projects, such as a soccer stadium. The RFP contains specifics as to which electrical components are required, but extracting this information is a major challenge, as the document contains panel drawings, engineering diagrams, symbols, and P&ID with contextual data.

Manual extraction, a slow and hard-to-scale process, requires skilled staff to extract, validate and enter the data into the bid processing system.

This electronics manufacturer spent two years and millions of dollars trying to automate the extraction process, but couldn’t.

Read the use case and learn how Infrrd helped the manufacturer automate the process and:

  • Increased RFP processing capacity by 600% without adding staff.
  • Improved RFP response time by 3x.
  • Reduced error rates and time needed to validate the data.

Infrrd. Redefine Possible.

Frequently asked questions

What does your pricing model look like?

We price based on the annual volume of pages and complexity of document type.  We can get you preliminary pricing once we outlined a solution.  Let's do this.

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How can I try Infrrd before I commit to a full deployment?

Sure.  The first step is to schedule a guided demo where you get to jump into the thick of it.  After you explore our solution you can try a proof of concept. When you're ready, you can deploy the system to one use case.  Then more use cases.  Then across your enterprise.

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How does your system integrate with others in my enterprise?

We play nice.  Our solutions are API-based.  Your documents are feed into the solution using APIs. And extracted data is sent out through APIs.  We use REST APIs.

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Does your solution run in the cloud or on premise?

Our solution is cloud-native but is also design for premise deployments.  Your choice on how you want to deploy it.

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Does Infrrd run on mobile or desktop device?

Glad you asked.  Our data extraction process runs on servers.  We have found performance and accuracy decline when running on a desktop or mobile device. (Remember Infrrd is running a powerful AI stack).

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Does your system work out of the box or does it require training?

Common documents and use cases work out of the box.  The cool thing is your solution will improve as the system learns from your documents upfront and over time.

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How does your solution handle corrections?

Did you know no system is 100% accurate all the time?  When extraction errors occur you want to correct them.  We provide a simple UI that your business analyst will use to make corrections.

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Does your solution work with handwriting?

Our solution excels at data extraction from handwriting.  We've got proprietary methods and techniques that do the trick.  It's pretty cool.  See for yourself.

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