The client needed to process 200-400 labels a day and this number would double during the holiday season. This created a huge bottleneck in the process and led to delays in processing shipments. Even if one of their employees was on leave the impact was material enough to delay the processing of shipments by days.
Transport (Logistics)
Port of Spain, Trinidad Miami, USA
Data Extraction and Process Automation
The POC took about 5 weeks from sign-off of the Process Design Documents to full implementation. An essential requirement of the design was to ensure the Bot could obtain package label information from the warehouse as packages can then be forwarded out to the customer. This presented the first challenge for the Valenta team – how to capture content for the Bot to process without human intervention supporting the process. The Valenta team leveraged UiPath’s RPA software as part of the solution to address the ‘physical presence challenge.’ Using the RPA software, a picture of the label was taken for every package coming into our warehouse. This picture was then uploaded into a folder from which the Bot would commence processing. The RPA Bot would then extract the required data from the picture (customer name, supplier name, shipper name, package weight, package dimensions) and enter the information into the freight forwarding application.
First, we collaborated with the client on setting goals. Based on those goals, we produced a project plan with a timeline to launch their website.
The project plan included the following key phases:
Step 1: Backend Setup
Step 2: OCR Setup
Step 3: Extract Data and Push Data through the API
Step 4: Validation and Export of Data
Step 5: Scheduling and Going Live
Step 6: Machine Learning and document adoption
Step 7: Run and Monitor
At the end of the BOT schedule, the Success and Exception Report is generated for the day.
The key fields captured for the client are as follows:
The extracted data was mapped to the database setup and integrated into the system via a REST API developed in collaboration with the client’s IT team.
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