Digital Logistics ChannelDigital LogisticsChannel

All episodes › Planning and analytics

Using weather data to anticipate demand and reduce supply chain disruption

Planning and analytics26 March 2021

This episode explores how weather information can be used to improve decisions in supply chains. Examples of its influence include a severe cold spell in Texas, a drought in Taiwan that affected chip manufacturing, and the way sunny or rainy days change sales of everyday goods such as umbrellas and ice cream.

The guest describes a career spent turning weather observations into decision support, first in the military and later for retail and consumer goods businesses. The central idea is to anticipate what is coming and act on it, rather than treating weather as an excuse after the fact. A promotional campaign built on weather analytics is mentioned as an illustration.

Key points

  • Weather events that have disrupted supply chains and shifted demand
  • Forecasts as decision support rather than a convenient excuse
  • Anticipating conditions to plan promotions and capture sales

More on Planning and analyticsAll episodes