Anticipatory Shipping
Anticipatory Shipping
technology application

Anticipatory Shipping

3
domains
4
stories
4
SDGs
updatedApr 13, 2021
image

tampatra @ stock.adobe.com

Based on a customer's purchase record, this software powered by machine learning can predict when an end-user will place an order.
Based on a customer's purchase record, this software powered by machine learning can predict when an end-user will place an order.

A machine-learning software that ships items to the geographical area near the final destination, predicting when an end-user will be placing an order. Products are normally stored closer to potential customers for faster shipping, or the final destination can be defined en-route, eliminating the need for secondary storage.

A forecasting model, real-time smart home data, and public data sources, such as product trends on social media or news stories, predict where an item would need to be shipped based on previous purchasing activity. Identifying both the quantitative rise in interest in a topic and the context of that interest enables the system to make predictions about which fads could boom.

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4 stories
3 organizations
3 technology domains
4 industries
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  • Manufacturing & Production
  • Mobility
  • Retail & Logistics
4 topics
  • Decentralization & Local Governance
  • Digital Economy
  • Sustainable Mobility
  • Trade
4 SDGs
  • 09 Industry, innovation and infrastructure
  • 08 Decent Work and Economic Growth
  • 11 Sustainable Cities and Communities
  • 12 Responsible Consumption and Production