Bringg

Enterprise last-mile orchestration with a 250-plus carrier network

Overview

Bringg is an enterprise delivery orchestration platform used by large retailers and logistics providers to plan, route and execute deliveries across their own fleets and third-party carriers. The company lists leadership in Tel Aviv, London, Philadelphia and Seattle and reports more than 800 customers, 200 million deliveries a year and operations in more than 70 countries[2].

The product is built in layers. A modular platform centralises planning, routing and driver management; Performance AI is described as self-optimising intelligence that moves from tactical adjustments to structural changes; and a carrier network gives access to more than 250 third-party, crowdsourced and autonomous delivery options in over 70 countries through one integration. Bringg also promotes an Open Last-Mile Network that connects shippers and carriers[1]. Customers it names publicly include Best Buy, AutoZone, ASDA, B&Q, Boulanger, FedEx Office, Wegmans, Metro and Seko[1].

Bringg ranks first because it combines in-house fleet management with carrier selection at a scale few vendors match, which is what large omnichannel retailers need when they mix store fleets, gig drivers and parcel carriers. The limitations are that pricing is not published and implementation is an enterprise project; small couriers or restaurants will find Onfleet, Shipday or Tookan quicker to adopt. Performance figures on its site, such as 30% more deliveries per day, are the vendor’s own customer results[1].

Bringg features

  • Planning, routing and driver management
  • Performance AI optimisation
  • 250+ carriers in 70+ countries via one integration
  • Open Last-Mile Network
  • Crowdsourced and autonomous delivery options

Bringg pricing

Quote-based; no prices published.

Bringg strengths and limitations

Strengths

  • Largest carrier network among the entries
  • Handles own fleet and third parties in one system
  • Proven with very large retailers
  • AI-driven optimisation layer

Limitations

  • No published pricing
  • Enterprise implementation effort
  • More than a small courier needs
  • Vendor-reported results only

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