Skip to content
Search AI Powered

Latest Stories

newsworthy

Zebra acquires prescriptive analytics firm

Profitect's machine learning tools will process the real-time data captured by Zebra's handhelds, firm says.

Logistics technology provider Zebra Technologies Corp. plans to acquire Profitect Inc., a provider of prescriptive analytics for the retail and consumer packaged goods (CPG) industries, the companies said today.

Terms of the deal were not disclosed. The transaction is subject to customary closing conditions and is expected to close in the second quarter of 2019.


Burlington, Mass.-based Profitect is a privately-held company that says it uses machine learning and prescriptive analytics to identify opportunities to boost sales and margin. The firm taps into data from across the value chain to improve inventory and pricing accuracy, out of stocks, supply chain inefficiency, unsellable merchandise, and assortment discrepancies.

While Lincolnshire, Ill.-based Zebra is primarily known for its rugged handhelds and mobile computers, Zebra says that adding Profitect's technology, talent, and skillsets will accelerate the development of its Savanna data platform.

The company plans to combine the real-time data captured by Zebra's handhelds with Profitect's access to operational data, machine learning, and prescriptive analytics. That combination is a recipe for giving workers the insights they need to make better, faster, smarter decisions, Zebra said.

"The acquisition of Profitect expands our relevancy deeper and wider in global retail operations while advancing our software capabilities to make our Enterprise Asset Intelligence vision even more accessible," Zebra CEO Anders Gustafsson said in a release. "We have had a strong relationship with Profitect for the past five years through Zebra Ventures, and we are excited to take our strategic investment to the next level by welcoming the Profitect team to the Zebra family."

The acquisition follows the release of a growing number of software platforms moving artificial intelligence (AI) from a theoretical concept to real-world applications in supply chain.

IBM Corp. last week launched Business Transactional Intelligence (BTI), an AI-powered solution that offers anomaly detection and visualization capabilities for mitigating supply chain disruptions and accelerating data-driven decision making.

JDA Software Group Inc. recently introduced the machine learning (ML)-driven Luminate Warehouse Tasking product, saying the platform can intelligently optimize tasks in real time.

And LevaData announced a product called LevaData NPI (New Product Introduction), an extension of its Cognitive Sourcing Platform, which applies AI to generate supply chain insights and actionable guidance to product planning, launch, and introduction teams in enterprise manufacturing companies.

Editor's note: This story was revised on May 22 to include information about JDA's product.

The Latest

More Stories

AI sensors on manufacturing machine

AI firm Augury banks $75 million in fresh VC

The New York-based industrial artificial intelligence (AI) provider Augury has raised $75 million for its process optimization tools for manufacturers, in a deal that values the company at more than $1 billion, the firm said today.

According to Augury, its goal is deliver a new generation of AI solutions that provide the accuracy and reliability manufacturers need to make AI a trusted partner in every phase of the manufacturing process.

Keep ReadingShow less

Featured

kion linde tugger truck
Lift Trucks, Personnel & Burden Carriers

Kion Group plans layoffs in cost-cutting plan

AMR robots in a warehouse

Indian AMR firm Anscer expands to U.S. with new VC funding

The Indian warehouse robotics provider Anscer has landed new funding and is expanding into the U.S. with a new regional headquarters in Austin, Texas.

Bangalore-based Anscer had recently announced new financial backing from early-stage focused venture capital firm InfoEdge Ventures.

Keep ReadingShow less
Report: 65% of consumers made holiday returns this year

Report: 65% of consumers made holiday returns this year

Supply chains continue to deal with a growing volume of returns following the holiday peak season, and 2024 was no exception. Recent survey data from product information management technology company Akeneo showed that 65% of shoppers made holiday returns this year, with most reporting that their experience played a large role in their reason for doing so.

The survey—which included information from more than 1,000 U.S. consumers gathered in January—provides insight into the main reasons consumers return products, generational differences in return and online shopping behaviors, and the steadily growing influence that sustainability has on consumers.

Keep ReadingShow less

Automation delivers results for high-end designer

When you get the chance to automate your distribution center, take it.

That's exactly what leaders at interior design house Thibaut Design did when they relocated operations from two New Jersey distribution centers (DCs) into a single facility in Charlotte, North Carolina, in 2019. Moving to an "empty shell of a building," as Thibaut's Michael Fechter describes it, was the perfect time to switch from a manual picking system to an automated one—in this case, one that would be driven by voice-directed technology.

Keep ReadingShow less

In search of the right WMS

IT projects can be daunting, especially when the project involves upgrading a warehouse management system (WMS) to support an expansive network of warehousing and logistics facilities. Global third-party logistics service provider (3PL) CJ Logistics experienced this first-hand recently, embarking on a WMS selection process that would both upgrade performance and enhance security for its U.S. business network.

The company was operating on three different platforms across more than 35 warehouse facilities and wanted to pare that down to help standardize operations, optimize costs, and make it easier to scale the business, according to CIO Sean Moore.

Keep ReadingShow less