Challenge: A large retail customer spent several years and millions of dollars trying to get end-to-end, item level visibility across their global supply chain. After two CIOs and expensive software write offs, they turned to GT Nexus because we offered a radical alternative to traditional software.

Challenge: When you receive an order to ship product, it's essential that the product is allocated against the customer's forecast and the "system" to trigger appropriate inventory replacement signals. The client identified our ability to develop an "order-to-cash" solution capable of integrating into their existing ERP system, and advised that they had lots of data; but not always readily available and slow to get.

Challenge: A major supermarket chain used Logistix Solutions' Logix Distribution Network Design tool to identify significant savings from consolidation of inbound distribution to its network of stores in the United States.

Challenge: Used by many Fortune 1000 companies and leading 3PLs, LeanLogistics On-Demand TMS ® delivers complete transportation planning, execution, settlement, and procurement, as well as supply chain visibility and business intelligence to improve business processes, increase efficiency and reduce costs.

Challenge: Booking ocean cargo for our global client's industrial gases and specialty chemicals was inefficient, requiring excessive time and manpower. The client needed to streamline the process to improve the flow of their products for timely delivery to their customers.

Challenge: Our customer in the Food and Beverage industry had an inbound volume of 10 containers per week from one origin into the Atlanta area via US Southeast ports.

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.