supply chain

The Future of Supply Chain Survey in 2016 found that 47% of supply chain leaders believe that artificial intelligence is disruptive to supply chain management strategies. Market research firm IDC predicts that, by 2020, 50% of mature supply chains will use advanced analytics for planning to eliminate reliance on short-term demand forecasts. Companies are starting to apply artificial intelligence across the global supply chain to automatically analyze vast amounts of data, identify trends, and generate predictive analytics to preview problems and outcomes.

Artificial intelligence and big data are also giving rise to new approaches that reconnect with local production systems and source products locally via short distribution circuits. This approach is both sustainable and cost and time-efficient. Location intelligence gives a complex production overview of small suppliers that can be easily monitored, predicted, stored and transported wherever needed.
Find out how data can help you meet supply chain challenges!

Who for?

  • Supply chain managers
  • Retail networks and manufacturers
  • Farmers and food producers
  • Restaurants and canteens
  • FoodTech startups

Business as usual, but better

  • Optimize supply networks using data about suitable suppliers and their delivery capacity
  • Reduce delays and costs caused by unexpected events
  • Learn about new unutilized storage facilities

Create innovative services

  • Offer local, seasonal sourcing for restaurants with a steady supply of fresh ingredients
  • Create an app connecting local artisans and food producers with shops and supermarkets
  • Enable manufacturers and retailers to compare prices, transport times and the risk of delays for a selection of local/regional/national suppliers