RucBot – RPA Case Study

Managing EROAD RUC data input into J.D. Edwards finance system
Project name: EROAD RUC bot
Client: Fulton Hogan
Location: Christchurch
Project period: The bot was build in 3 weeks and deployed in August 2018.
Approximate ROI 1 : Estimated cost $28,000. Estimated time saving 0.85 full time employees.
Industry: Construction.

Description of project:
Prior to the implementation of this bot, the road user charges (RUC) were emailed from EROAD and entered manually into J.D. Edwards (JDE). This bot validates the data in excel and imports this RUC information into JDE to perform a match against the direct debits and allocate the cost to the asset. This process was originally done at each site, and recently streamlined to be completed by the Shared Services team. It previously took an estimated collective 35 hours to complete. The RUC information is generated for approximately 700 vehicles per week, from a pool of 4,500 possible vehicles affected in general. There was an additional requirement to extract some basic statistics and analysis of the robot in order to monitor and demonstrate performance.

Benefits delivered:

  • The EROAD RUC data imports into JDE upon receipt of the collated Excel spreadsheet from EROAD
  • System performs task in less than one minute on average
  • Operator checking is reduced to daily review of the robot comparisons
  • Running under an attended licence at present, the BOT runs manually with high accuracy and low maintenance requirements

Quote from Kane Paekau, General Manger Shared Services:
“The implemention of our first RPA BOT in conjunction with Probotics was seamless and helped us understand the technology and requirements to deliver a great automated project. We were easily able to deliver value to the business by centralising and automating the process. The BOT build took less than 18 working days from start to finish, proving the speed and benefits of RPA implementation. The BOT runs in less than a minute and has assisted our movement towards further automation and efficiency gains.”

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