The client asked us to lead the selection process of a Track & Trace solution to address multiple situations depending on the fulfillment location (supplier, DC, hyper, super…), type of goods (food or non-food items), volumes of delivery (small, large…), service required by customer (express, same day, next day…), distance of customer location from fulfillment location, carrier capacity, transport mode (inhouse, crowdsourced, outsourced). During the assessment, we run simulations with different scenarios in vendor’s free trial in order to check that finalists solutions really covered our client needs.
Having an important growth during the last years that triggered an expansion if their factory and warehouse, the client asked us to calculate optimum warehouse model to stock finished goods for both infraestructures and processes. To start with this project, a previous phase should be done to define warehouse sizing: a deep analysis of production planning processes.
After analysing current warehouse processes and identifying infrastructure and equipments limitation, we used information obtained during previous project phase regarding to stock sizing and flows definition, such as volumes to be handled, mono and multi client references and logistic handling units used for picking.
The client requested a functional and technical assessment of an ad-hoc solution they were developing in house and allowed them to enable picking, packing and tracking last-mile deliveries. Technically, the solution was very good to cover their needs at that moment but it wasn’t a scalable model capable to cover both future scenarios and developments required to enable detailed operations described before so, the client asked us to assess solutions available in the market.
The client asked us to design e-commerce operation models for food and non-food articles. These operations were designed allowing Majid Al Futtaim to be adapted according to a changing and rising demand as the e-commerce was ramping up in the region.