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Our
focus is on problems that lend themselves to analytical methodologies, a
cross-functional approach, or both. Our project
experience is clustered into a set of activity areas that map onto a
two-dimensional Supply Chain framework.

End-to-End
Analytics' client customers typically fall into one of the following
categories:
- Businesses with unpredictable customer demand
Many businesses struggle with the demand volatility caused by
frequent product introductions, short product lifecycles and
fickle marketplaces. We help our clients forecast demand
as accurately as possible and configure their supply chains with
sufficient flexibility to manage the remaining uncertainty.
- Organizations with complex supply chain networks
Multi-stage supply and distribution networks are often managed in a grossly inefficient manner. We optimize the design and operations of these networks by analyzing the tradeoffs between working capital, customer service, and total cost.
- Capital-intensive businesses
Companies that have to place big bets―through large commitments to their supply base or by investing in capital equipment or inventories―face considerable risk in the face of uncertain demand. We help manage this risk more effectively through better demand planning, capacity planning, inventory management, and product life-cycle management.
- Businesses seeking SC improvements without major IT expenditure
Many businesses are painfully aware that growth has left them with primitive supply chain processes; but they balk at the enormous expense of the IT systems that are often touted as the solution. We help our clients deploy the value-added analytics that lie at the core of these systems―at a fraction of the cost.
- Private Equity portfolio companies with operating inefficiencies
In the pre-acquisition phase, we offer rapid, targeted operations assessments to support the due-diligence process. Post acquisition, we enable fast ROI with highly targeted programs of 60-, 120- and 180-day improvement efforts focused on reducing working capital and operating costs.
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