Challenge: With a shift from a manufacturing to sourcing model, a leading floor care products company needed to improve its inventory optimization through more robust and accurate forecasting while maintaining high customer service levels.

Challenge: A power management technology provider operates in a supply constrained environment where factories are fully loaded and tradeoff decisions are needed frequently, i.e.: If a production lot gets scrapped, what new promise date can be given to customers? If a customer demand gets pulled-in, what is the ripple effect to all other customer orders? If the priority of all orders from a customer is increased, what other orders become at risk?

Challenge: A large, global pasta maker needed to analyze their supply chain network to determine where to add another distribution center. The company ships a wide-variety of products from manufacturing locations to multiple distribution centers.

Challenge: As fuel costs, highway congestion and environmental consciousness skyrocket, building a supply chain network that factors in a variety of transportation modes to minimize costs and carbon footprint is critical.

Challenge: Our client, the world's largest marine electronics company, was forecasting nearly 8,000 SKUs with spreadsheets and manual calculations. Updates had to be communicated with our client's Syteline ERP system in order to complete purchase cycles and track on-hand quantities. The time to consolidate and analyze sales forecasts and inventory requirements could take weeks.

Challenge: A manufacturer of high precision machined components was unable to meet the stocking requirements of their largest customer. Though their customer had placed their supply management system online their constant changing of requirements made it difficult for the company to keep pace. Their first option was to create a series of complex spreadsheets to help manage the data. Unfortunately, that process required nearly two hours a day to prepare and despite their efforts stock-outs increased to nearly 50% of managed SKU's.

Challenge: The demand forecasting process looked quite different one year ago compared to the streamlined process that our customer uses today. The company strives to maintain high customer service levels; however, reliance on only "green bar" reports for its inventory planning process caused them to be in constant over or under-stock situations. They needed a solution that could manage seasonality and long lead times ranging from 14 to 135 days, provide effective SKU management, improve fill rates and optimize inventory.

Challenge: Faced with increasing lead times due to international sourcing and cost pressures, while squeezed on the sell side with increasing service pressures, a $200 million US-based home electronics company turned to Demand Works.

Challenge: When a top-tier mobile hydraulics company engaged DemandPoint, they needed to dramatically improve their on time orders to remain competitive in their market.

Challenge: Key inventory planning personnel retired from a parts manufacturer for heavy duty vehicles, and the resulting experience/knowledge void led to costly inventory mistakes. Because the company's cash was tied up in the wrong inventory, its ability to stock the needed products was limited. Over two years, the company launched a new S&OP process to correct its inventory and cash problems.