Anadolu Efes is recognized as a global player in the beverage industry, with a presence in multiple continents, serving millions of customers worldwide. The company ventured into international markets, focusing on Eastern Europe, Middle East, and Asia, successfully establishing a presence in over 40 countries.
Order management process reduction
Order intake increased
Product storage and costs
Order with an accuracy
The Challenge
In the dynamic E-Retail sector, businesses constantly strive to meet customer demands promptly and cost-effectively. An accurate product demand prediction system is no longer a luxury but a critical necessity. Misjudgments in forecasting can lead to overstocking, tying up capital, or understocking, resulting in missed sales and disappointed customers.
While manual processes are fraught with risks of errors and interruptions, even sophisticated ERP systems aren’t immune to challenges. System-induced errors in inventory and order tracking can have significant repercussions. With a vast array of products and the potential for human error, businesses face a delicate balancing act, ensuring reliability and maintaining customer trust and satisfaction.
What did
Deka Technology do
Recognizing the challenges in the E-Retail sector, Deka Technology developed an innovative order tracking and reporting system adaptable to various ERP platforms. Their primary goal was to digitize manual processes, thereby reducing inefficiencies and enhancing customer satisfaction.
By leveraging Service-Oriented Architecture (SOA), the system ensures each business component operates independently, allowing for seamless integration and updates without disrupting existing workflows. Deka Technology’s solution goes beyond mere tracking; it’s about equipping businesses with the tools to operate more efficiently and make informed decisions.
The Results
- Decreased the need for manual interventions in the order management process by 90%
- Anticipated a boost in order intake by at least 30%
- Projected a 20% reduction in product storage and associated costs
- Dealers are now equipped to meet the demand for higher turnover products
- Aimed to match dealer and product recommendations for the next order with an impressive accuracy rate of 85% through machine learning-supported order forecasting.