Supply Chain Networks

Technologies and strategies for networks for trading partners

Supply Chain Orchestration: Part Three

A major automotive OEM buys steel for its entire supply base. In the process, it has been able to rationalize the materials specifications for all of that steel, resulting in consolidated spend, more efficient use of inventory, and more flexibility.

Transparent Cost-to-Serve Customer Relationships (TCR) – Part Two: The Journey to TCR

With Transparent Cost-to-serve Customer Relationships (TCR), the salesperson has full visibility into the cost-to-serve implications of the customers’ requests, such as requests for short-supply items, special services, custom pack sizes, specific delivery dates, and frequent small quantity orders. Here we examine a potential path to achieving TCR.

AI for Supply Chain: Use Cases – Part Three

This article describes a ‘rethinking of AI’, looking at data first, establishing a hierarchy of data stores, ‘best fit’ capabilities, and reducing nervousness in supply chain decision making.

AI for Supply Chain: Use Cases – Part Two

We look at the use of AI for demand planning and forecasting, as well as inventory management and making MEIO (multi-echelon inventory optimization) work better.

Analytics Advantage – Part 1A: Democratization

We explore the kinds of data being produced by transportation and logistics systems, how that data can be used to create a data-driven enterprise, and the substantial obstacles to achieving an analytic advantage.

Agile Demand-Supply Alignment – Part 2E

A discussion of requirements for Agile Demand-Supply Alignment (ADSA) solutions for demand management (demand-side visibility, time-phased views, POS and channel data visibility, order pegging, demand sensing, retail planning capabilities), and analytic capabilities (e.g. supplier performance, carrier performance, lead-time analytics, total landed cost optimization.)

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