From Chaos to Clarity
A Case Study on Improving Order Fulfillment
Problem Description
Supreme, a skateboarding shop and clothing brand that produces and manufactures accessories for youth culture and urban lifestyle was struggling to keep the pace with the customer demands in respect to order fulfillment. Customers were expecting faster delivery times but the company’s present-day order fulfillment process was too slow and inefficient. This led to increasing customer complaints and a significant decline in customer satisfaction was predicted.
Solution Approach
Starting with a strategic roadmap, we performed a detailed analysis of Supreme’s current order fulfillment process in order to identify the existing bottlenecks and inefficiencies. We summed-up that the manual order-entry process was causing a whole lot of delays and errors.
Based on the findings from the process analysis, we moved forward with the implementation of an order management system. This system automated the entire order entry process, and simultaneously helped in reducing manual errors and improving order processing time.
We then employed some data analytics tools (AI & Data Analytics) to analyze order data and identified patterns pertaining to customer buying behavior, right down to the impact on individual stores. This helped to optimize the order fulfillment process, drive better analytics across mission-critical applications (cloud engineering), reduce the delivery times and improve customer satisfaction.
To further furnish the going-on process, we curated a recommendation of a warehouse management system. This system would help automate the storage and retrieval of products in the warehouse, making the process more efficient and reducing the time it takes to fulfill orders.
Outcome
As a result of VE3’s deep knowledge in the requisite domain, Supreme saw significant improvements in order fulfillment time and customer satisfaction. The implementation of an order management system reduced manual errors and transformed the financial, supply chain and e-commerce processes, while the warehouse management system made the order fulfillment process more efficient. The use of data analytics tools also helped to optimize the process, further reducing delivery times and improving customer satisfaction curve.
Now the implications made not only saves time by making shopping seamless, but it also offers substantially improved functionality and product exposure. This translates to more precise stock projections, cost-effective sourcing, and a consistent consumer experience in-person and online.
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Enable organizations to leverage cutting-edge technologies such as machine learning and artificial intelligence to analyze and interpret vast amounts of data.Â
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Involves updating and upgrading legacy applications to improve functionality, reduce costs, enhance user experience, and align with the latest technologies and industry standards.
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