The logistics industry is one sector that keeps the world moving around.
It is a significant contributor to the global economy and continuously faces change: sudden changes in regulations, new market entrants, higher customer expectations, disruptive new business models, and newer technology. To stay ahead of the pack, companies must embrace the shift using all the available tools on the market.
RPA adapted to logistics provides automation for repetitive data entry, document reading, and product orders. The final goal is to improve operational adaptability.
Challenges we’ve faced
One of our client’s requirements referred to dealing with inbound and outbound receipts. It was a previously manually handled process that involved a lot of time and effort. The work was repetitive, inefficient, and error-prone. Connecting the customer number with order numbers or archiving receipts under the customer numbers are activities that must be done for the subsequent financial settlement of various customers.
From the employees’ and the business perspective, the process, before automatization, had the following traits:
- Dull, redundant work
- High risk for errors
- Hard to quantify
To make things easier and save time, we created a robot with one job, and it is doing it tremendously well.
The robot receives a PDF via E-mail. The PDF is automatically opened and classified as an inbound or outbound receipt. The robot then extracts the necessary data. The scanned documents are filed to conform to a naming convention, make an output report, and are ready to be sent to the customer.
Now that the robots take care of this process, our client s team saves several essential work hours. To make creative decisions and develop more innovative processes.
• Accurate invoicing and archiving
• No records lost in processing
• 95% automation
• Two full-time equivalent savings on labor costs
- No manual actions
- Robots never get bored
- No typing mistakes
- Accessible reports (how many files the robot processed at any time)
Automation has already transformed the global workforce. Labor is an essential element in any logistic operating model. Until now, there has been a tradeoff between cost and service. Automation changes this equation and allows companies to provide better service while saving money. Automation is transforming some of the most labor-intensive industries, such as warehousing or last-mile delivery.