Define your supply chains Your organisation’s Supply Chains Network will not become an ‘integrated’ system, as it comprises independent organisations with their own business objectives and policies. Instead, the requirement is to build knowledge about the Network and supply markets on which your organisation relies. The recommended approach is to Map your organisation’s supply chains. Supply Chains are defined by … Read More
One Plan and SNAP identify Supply Chains data flows
Uncertainty or scenarios Uncertainty in supply chains has become a term without meaning, as few events of consequence are certain. Supply chains have become less reliable and goods and services could have availability issues, due to geopolitical disruptions and climate change events that are converging. But there is unlikely to be a technology or technique that knows with certainty what … Read More
Supply Chains knowledge and scenario to address tariffs
Tariff outcomes are not known Tariffs were a major source of revenue for governments until 1944, when the Allies formulated a new economic structure to enable rebuilding after World War 2. However, tariffs on imports were continued by countries and can be increased and decreased for a range of reasons that last over periods of time. Whereas in 1947 the … Read More
Using Agentic AI in your organisation’s supply chains
Why use Agentic AI? The hype through 2024 was about GenAI, but sales appear to have fallen short of expectations, so in 2025 the hype has moved to Agentic AI. The level of hype is not a signal to buy, even though some software suppliers have added AI features within their applications. The previous blogpost identified Agentic AI as “a … Read More
AI in supply chains a solution in search of a problem
Types of AI The consulting firm McKinsey reported in a recent survey that nearly eighty percent of companies are using gen AI – yet a similar number of organisations report no significant increase in profitability. This is the ‘AI paradox’, which is similar to the ‘Productivity paradox’ identified by the economist Robert Solowin in 1987, when the hype about computing … Read More





