Background

Dingo Cement Automates Order Fulfillment Process

Our custom AI agent helps Dingo Cement bridge the gap between their accounting and warehouse systems, eliminating manual data entry and accelerating their entire order-to-shipment pipeline.

Background

Dingo Cement is a leading Australian supplier of high-quality cement and building materials. Serving a wide range of commercial and industrial clients, the company is committed to operational excellence and reliable delivery across its New South Wales operations.

The Challenge: Manual Processes Created a Bottleneck

As Dingo Cement scaled, its order fulfillment process struggled to keep up. The workflow for getting new orders from their MYOB accounting software to the Warehouse Management System (WMS) was entirely manual and inefficient.

Manual Data Export and Formatting

The finance team had to spend hours each day manually exporting order data from MYOB. This data then needed to be painstakingly copied, pasted, and reformatted into a specific text file format required by the warehouse's import system.

High Risk of Human Error

A single mistake in data entry or formatting could lead to incorrect shipments, causing significant delays and impacting customer satisfaction.

Time-Consuming File Transfer

Finally, an employee had to manually upload this file to an FTP server for the warehouse team to access. This process was not only time-consuming but also a critical bottleneck that limited the company's ability to process orders quickly and efficiently.

The Solution: A Fully Automated Data Bridge

We developed a bespoke AI automation agent to completely overhaul Dingo Cement's order processing workflow. The agent acts as an intelligent and reliable bridge, seamlessly connecting their MYOB system directly to the WMS.

Our team designed the agent to perform a sequence of tasks with perfect accuracy:

  1. 1
    Automated Data Retrieval: The agent automatically connects to MYOB's secure data endpoint to pull all new sales order information in real-time.
  2. 2
    Intelligent Data Formatting: It instantly processes and transforms the raw data into the precise tab-delimited text file format that the WMS requires, eliminating any chance of formatting errors.
  3. 3
    Secure & Instant Transfer: The agent then securely transmits the formatted order file directly to the WMS via FTP, making the orders immediately available to the fulfillment team.
  4. 4
    Confirmation & Logging: To prevent duplicates, the agent logs every processed order. It also sends an automated email confirmation to key managers, providing clear visibility and peace of mind that the orders have been successfully transferred.
Paul Jackson
"The manual data entry was a constant drain on our resources. We were spending hours just moving information from one screen to another. This automation has given us that time back, and the accuracy is flawless. Our warehouse now gets orders instantly, which has been a game-changer for our fulfillment speed."
- Paul Jackson, Global Head of Supply Chain
Dingo Cement logo

The Outcome: Drastic Gains in Speed, Accuracy, and Efficiency

95% Reduction in Manual Processing Time

A task that consumed hours of daily administrative work is now completed automatically in just a few minutes.

Elimination of Data Entry Errors

The automation ensures that order data transferred to the warehouse is 100% accurate, preventing costly shipping mistakes and improving customer trust.

Accelerated Order Fulfillment

With the warehouse receiving order information in near real-time, the picking and packing process begins almost immediately, significantly reducing the order-to-shipment cycle time.

Improved Scalability

Dingo Cement can now handle a significant increase in order volume without needing to hire additional administrative staff, allowing the business to grow more profitably.

Strategic Resource Allocation

The finance and operations teams are now free from tedious, repetitive tasks, enabling them to focus on higher-value activities such as financial analysis, customer relationship management, and process improvement.