The client, a multinational retail giant, operates both online and brick-and-mortar stores across the globe. Their existing order management system relied heavily on manual processes, leading to bottlenecks, inaccuracies, and an inability to scale with their rapid growth. Their primary objectives were to: - Automate order processing to reduce manual effort and errors. - Improve inventory visibility and management. - Enhance order fulfilment speed and accuracy. - Gain real-time insights into order status and performance.
The reliance on manual data entry resulted in frequent errors, order backlogs, and increased processing time.
Lack of real-time inventory visibility led to stockouts, overselling, and inaccurate order fulfilment.
Fragmented systems for order processing, inventory management, and shipping created communication gaps and hindered efficiency.
The absence of comprehensive reporting capabilities made it difficult to track key performance indicators and identify areas for improvement.
The existing system struggled to handle the increasing volume of orders, impacting customer experience and business growth.
In summary, the automated order management solution delivered a significant return on investment through increased efficiency, accuracy, customer satisfaction, and data-driven insights.
This case study explores how Quantzig partnered with a leading global retailer struggling to manage a high volume of orders across multiple sales channels. Facing manual errors, inventory discrepancies, and delayed deliveries, the retailer sought a solution to streamline their order management process. Our team implemented a robust, automated order management system using a low-code platform, resulting in significant improvements in efficiency, accuracy, and customer satisfaction.
Industry
Retail
We implemented a low-code platform to automate order capture, validation, and processing, eliminating manual data entry and reducing errors.
The solution integrated with the client's existing inventory management system, providing real-time visibility into stock levels across all locations.
Orders were automatically routed to the optimal fulfillment center based on factors like inventory availability, proximity to the customer, and shipping costs.
The system generated real-time notifications for order status updates, shipment tracking, and potential delays, keeping both customers and internal teams informed.
We created interactive dashboards and reports to provide insights into key order management metrics, enabling data-driven decision-making.
OutSystems, SharePoint.
UiPath, Automation Anywhere, Power Automate
Mulesoft, Dell Boomi.
Power BI.
By embracing a low-code approach to automate order management, the global retailer transformed its supply chain operations. The implemented solution not only addressed their immediate challenges but also provided a scalable foundation for future growth and innovation.
In summary, the automated order management solution delivered a significant return on investment through increased efficiency, accuracy, customer satisfaction, and data-driven insights.
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