Technical Problems and Challenges:
Logistics is a major daily challenge for this SME, which deploys remarkable energy to meet it. The problem is therefore there: to provide management with measurements on the delivery rate and the service rate with information that can be positioned both from a macro point of view, that is to say at a grouping of customers only from a micro point of view, i.e. to order.
Two challenges to be met: firstly business, and more specifically on how to calculate the service rate, then technical, in particular on the data set. This being complex in the current old fashioned ERP system, the objective is to return to the customer a simplified and intuitive data set for future users. Another technical challenge on this project is related to the volume of data of the returned goods.
Solution:
In order to address the challenges related to the supply chain, returned goods, and stock management we have first gone through the Demand forecasting technique, by Utilizing historical data, market trends, and predictive analytics to forecast demand accurately. This will help optimize inventory levels and minimize stockouts or overstock situations.
We have implemented technologies like RFID or barcoding to track inventory in real time, enabling better inventory control, order fulfillment, and demand planning with full fledge integration to the newly build ERP for the company.
We also developed Key Performance Indicators (KPIs) and dashboards to monitor supply chain performance, including metrics like lead time, order fulfillment, and delivery reliability, knocking out the second technical challenge faced by the company.
All the above benchmarks have been implemented by building a corporate level ERP for the company. We have used agile development methodologies to ensure iterative development, regular feedback, and continuous improvement knocking out both technical and data simplicity related challenges.
Results:
The first result for general management as well as for logistics and the sales department is to have indicators that integrate both operational (supply chain) and commercial (CA monitoring) performance. Because we have developed data pipelines or APIs to collect, validate, transform, and load data into the ERP system.
Secondly, It is now possible to obtain in a few clicks, the record of the stock, the volume of the orders and instant identification and paperless record of the returned orders that affect the level of performance. The implemented modules for supply chain management, returned goods management, and stock management, by us are doing the rest.
A thoughtful and agile infrastructure like this has allowed this company to regain all its momentum. There is now controlled scalability as their stock resources can be ordered and provisioned easily. The financial costs of the ERP is also much better controlled because the system is sized according to the necessary resources.
