Bringg Recognized in 2021 Gartner® Market Guide for Vehicle Routing and Scheduling and Last-Mile Technologies

Bringg Recognized in Gartner Market Guide for Vehicle Routing and Scheduling and Last Mile Technologies

Within evolving supply chain execution technologies, Bringg coverage expands both Supply Chain Convergence and Last Mile Delivery categories

CHICAGO – January 19, 2022Bringg, the leading data-led delivery and fulfillment cloud platform provider, has been included in the 2021 Gartner Market Guide for Vehicle Routing and Scheduling (VRS) and Last-Mile Technologies.

As a top innovator in Last-Mile technology since its launch in 2013, Bringg’s mission has taken on new urgency in the post-pandemic landscape. This Gartner report states, “the market for vehicle routing and scheduling and last-mile applications continues to grow as organizations are seeking ways to optimize fleet operations. Supply chain technology leaders can use this research to understand the market and evaluate these solutions.” 

Some key findings highlighted in the report:

  • Consumer demands and habits keep changing due to advances in technology usage and vice versa, making organizations shift more toward a B2C model. Vehicle routing and scheduling (VRS) and last-mile software vendors are reacting to these changes by adding more customer-centric and -engagement capabilities.
  • COVID-19’s impact is still evident, creating new challenges as consumer demand increased after lockdown measures were eased. This instigated organizations to further outsource their transportation operations and actively promote employee retention. VRS and last-mile applications are adding more capabilities related to fleet and asset management and transportation outsourcing.
  • Carbon emissions analysis and capabilities to manage electric vehicles are starting to be requirements for VRS and last-mile software selection. As last-mile operations keep increasing and more trucks are on the road, organizations have raised concerns about areas like sustainability and operation efficiency.

“Over the past two years, businesses of all stripes have been battered by a series of challenges, particularly around e-commerce fulfillment, last-mile delivery, and supply chain logistics,” said Guy Bloch, CEO of Bringg. “In our opinion, where others see challenges, Bringg sees a vital opportunity to harness cutting-edge technology, AI, and our second-to-none customer-centric capabilities to help companies overcome last-mile delivery issues and keep their customers happy. We believe this Gartner recognition is just the latest vote of confidence in our efforts – and we can’t wait to continue leading the market in 2022.”


Gartner, “Market Guide for Vehicle Routing and Scheduling and Last-Mile Technologies”,  Oscar Sanchez Duran, Bart De Muynck, Carly West, December 13, 2021.

GARTNER is registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About Bringg

Bringg helps enterprises scale up and optimize their last mile operations with data-led fulfillment and delivery orchestration SaaS technology. Using Bringg, retailers and logistics providers can rapidly enable innovative delivery and fulfillment models that maximize the customer experience, optimize logistics operations and scale business channels for growth. Some of the world’s best-known brands in more than 50 countries use Bringg’s platform to deliver the perfect last mile experience at peak efficiency across multiple delivery models.