Timely and Cost-optimized Order Processing With Quick Mobilization of Resources for Delivery

$ 0 M
Cost savings per annum on order processing.
0 %
Improvement in TAT met percentage.
The Process

The client’s Back-office center is responsible for processing orders from customers for various products. Purchase Orders are either received through salespersons or directly from the customer. These are then entered into the order management system and processed according to priority. The process was very manual due to the varied formats in which the purchase orders are received from customers.

Additionally, each order also carried specific instructions against the order which include some additional product customization or shipping instructions.

The Solution

The solution comprised a combination of technologies in Aiwozo to ensure the successful automation of the process. The first step was to apply Intelligent Character Recognition (ICR) to extract as much data as feasible from the purchase orders and define tags for the data obtained. After this, Aiwozo’s Natural Language Programming (NLP) was used to read the instructions field and create meaningful action from the instructions.

Lastly, Robotic Process Automation (RPA) was used to take this extracted data to update the systems and route the specific actions derived from the instructions to particular teams for completion.

Challenges Addressed

Key business and operational challenges that limited performance, scalability, and governance before automation was introduced.

  • Volume seasonality
  • Manual process
  • Multiple systems for different products
  • Handoffs in the process increased error chances
Get exclusive insights, strategies, and AI innovation updates that help you stay ahead of every digital shift.

    Create your account