A multi-million dollar apparel brand that provides multiple lines of custom-designed products through its sales force network had very high shipping costs. The client was looking to build a robust optimization tool which could take into consideration various constraints related to geographic locations, sales agent performance, shopping seasons etc. and generate optimal shipment and routing schedule to minimize costs.
A PE-owned leading luxury jewellery client with presence in North America, Asia and Europe had its master data captured through multiple instances of ERP and outside of ERP, across geographies driven by the inventory, sales, customer, manufacturing and product development processes. Data captured in the internal ERP and other systems was incomplete, redundant and inconsistent due to evolving product categories and business processes.
A fast growing pet food client was facing frequent stock outs and low service levels, because the orders generated by their internal systems were not optimized to the client’s business model. The client was looking to set up a robust supply planning process to help generate appropriate purchase orders, prevent out of stock (OOS) situations, and improve service levels.
A leading CPG company with a renowned national brand, was looking to improve its demand forecasting and operations planning processes. The client also required analytical rigor and support to better forecast and track sales, promotions and stock outs to efficiently plan for future growth.
A leading CPG client was looking to improve its margins by appropriately pricing its products or changing pack sizes for individual SKUs.