Bringg is bringing customization and control to the last mile
Tel Aviv-based delivery platform Bringg wants to bring unprecedented flexibility to the last mile.
Tel Aviv-based delivery platform Bringg wants to bring unprecedented flexibility to the last mile.
“We started figuring out how we can layer in artificial intelligence to our systems to allow our customers to be predictive and not reactive,” Panasonic executive tells FreightWaves.
Blue Yonder, a leader in supply chain software, announced Friday it has confidentially submitted a proposed initial public offering (IPO) to the Securities and Exchange Commission. The IPO price and number of shares have not yet been determined. In March, the company was rumored to be under consideration for acquisition by Panasonic Corp. (OTC:PCRFF), an […]
The Japanese company is leveraging its logistics facility hardware, like security cameras and bar code readers, with Blue Yonder’s artificial intelligence software that can predict product demand and audit supply chains for inefficiencies.
The connection of these two platforms will empower Redwood customers with the ability to quote and book shipments in seconds, with reliable capacity.
As it becomes necessary to take an increasing number of sources and types of data into account, the case for shifting away from simple spreadsheets and onto more sophisticated platforms will gain strength.
Convoy has added several new TMS partners to its platform, expanding opportunities for shippers to easily access its real-time prices with guaranteed capacity.
Uber Freight is partnering with AI supply chain services vendor Blue Yonder on a carrier marketplace solution.
AI-driven fulfillment provider Blue Yonder and DHL have deployed a new platform for the integration of warehouse robots, built on Microsoft Azure.
Shippers get optimized supply chain management with real-time, dynamic capacity pricing
Companies that have been outsourcing and far-sourcing their supplies might now look to source closer to their assembly line to have flexibility during times of disruption.