Underlying Technologies

Technologies that underpin supply chain solutions such as AI/ML, analytics, IoT, SaaS, and ERP.

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.

Analytics Advantage – Part 1B – Democratization

Implementing advanced analytics requires data science expertise, analytic technology, data integration, data-wrangling capabilities, and ideally the ability to rapidly implement advanced analytics. Some transportation and logistics solution providers have these capabilities, so their customers don’t have to acquire them. Here we discuss how to assess whether or not a logistics software solution provider has the right capabilities.

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.

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.)

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.

AI for Supply Chain: Debunking the Myths – Part One

Previously intractable challenges that supply chain professionals have been grappling with for decades are now within reach using AI/ML. These include fixing new product introductions, stock-outs, optimizing inbound through outbound fulfillment, and improving profit margins.

Agile Demand-Supply Alignment – Part 2B

A framework for understanding Agile Demand-Supply Alignment solutions. We present questions to ask solution providers about how they detect, contextualize, prioritize, predict, and prescribe solutions for demand-supply imbalances.

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