WE CREATE Innovative Solutions to Solve Complex Supply Chain Puzzles
Haircare Soaps Consumer Goods Company
Large FMCG company employed Demand Forecasting modules to apply forecasting and replenishment strategies of more than 1000+ SKUs nationwide. The company benefited from improved forecast accuracy, visibility, and compliance. Efficient collaboration of 1500+ field sales force ensuring ensured a direct reach of over 2 million and an indirect reach of over 2.7 million retail outlets
Fabric & Domestic Cleaning Products Company
Large FMCG company employed Demand Forecasting modules to apply forecasting and replenishment strategies of more than 1000+ SKUs nationwide. The company benefited from improved forecast accuracy, visibility, and compliance. Efficient collaboration of 1500+ field sales force ensuring ensured a direct reach of over 2 million and an indirect reach of over 2.7 million retail outlets
Cement Manufacturing Company
The Cement company has 9 factories and a wide network of 200-220 cement dumps with over 7000 dealers across India to distribute its products and services to millions of customers. SCAP solutions are employed to optimize the supply network plan for the distribution of various grades of cement from its plants to dumps and then to Markets through Rail / Road while resulting in ~5% benefits on the contribution.
Off-Road Tyre Company
The tyre company deals with a large diversity of products, 2500+ SKUs and 400+ customers making production planning a huge challenge. The ATP solution was designed to enable the grouping of products around shared resources to reduce the execution time. If the promised week was acceptable, a sales order was created in SAP which was then used as demand in MPP and APS. This enabled the sales force to give more realistic timelines and manage customer expectations
Alumina / Chemicals Manufacturing Company
The chemical company is part of a large conglomerate in India having over 100-120 grades of Alumina. Excel was used to plan operations and serve more than 600 customers, across 32 countries and Group consumption. Production Planning modules were employed to suggest an optimized product mix while considering different constraints. This resulted in a significant changeover time minimization and product prioritization based on revenue contribution.
Pharmaceutical Formulation Manufacturing Company
Large Pharma focused on APIs and Formulation and Injectables having 13 factories and over 10,000 product registrations worldwide with leadership in key therapeutic segments. Production Planning and Scheduling along with advanced MRP was implemented to take care of the entire manufacturing process from Granulation, Coating to Packing. This resulted in greater inventory control, improved productivity and packing line changeover minimization
Fabric and Home Décor Manufacturing Company
The textile company is the world’s largest maker of soft furnishing fabrics with daily production of over 120,000 sq mtrs of high-quality fabrics, across 5 manufacturing plants and produces 20,000 SKUs/year. APS helped the client, previously using SAP, to generate custom reports for capacity, inventory, and work order planning. Custom logic was built to fulfill the requirements of different production work. Using this tool, the client was able to analyze and simulate various scenarios.
Kitchenware Products Company
The German consumer durables MNC leads in kitchen fittings and architectural hardware with a global manufacturing presence and an annual turnover of 1.3 bn Euros. To control poor forecasting leading to lost sales, unsold inventory, manual procurement and distribution planning, replenishment planning solutions were implemented. As all the products were imported, the client benefitted from greater inventory control on incoming material and supply chain distribution
Aluminium Manufacturing Company
The Pharmaceutical company has an extensive network of distributors to distribute drugs across the country. As the client wanted to streamline distribution and automate the overall Sales and operations planning process the solution used demand planning as well as production and procurement planning. This resulted in greater visibility of transport plans and periodic, continuous replenishment strategies were implemented to allow for course correction