Arkieva Rolls Out Swifcast For Demand Forecasting

Arkieva Rolls Out Swifcast For Demand Forecasting

Arkieva, a software developer for worldwide manufacturing supply chains, has rolled out its Swifcast machine learning (ML) forecasting and return on investment (ROI) technology, according to a Monday (Aug. 3) announcement.

Arkieva said the tool is the only program that lets users input past supply chain information to receive a demand forecast that they can respond to in addition to an ROI, according to the announcement.

The firm said the data offered by Swifcast will assist supply chain leaders in speeding up their migration from projections in Excel to modeling demand in ML programs. Swifcast is complimentary for the public and is a based on the cloud, according to the firm.

“We have had hundreds of conversations with customers and prospects over how to prove ROI and how generic some underlying assumptions are,” Arkieva Director of Sales and Marketing Ernie Untereiner said in the announcement. “We set out to build a tool that would use the client’s historical data to provide a personalized ROI and forecast. Our goal is to empower planners to have the data points that they need to create business case justification for management to invest in the organization’s planning future.”

Wilmington, Delaware-based Arkieva has offices in Mangalore, India, and Antwerp, Belgium. It says that large companies like Samsonite, LUSH Cosmetics and Amy’s Kitchen, among others, use its offerings.

Separately, the new Sterling Business Transaction Intelligence (BTI) Enterprise and Multi-Enterprise editions of IBM let firms remove the “supply chain blind spots” and react to “predictive insights” from artificial intelligence, PYMNTS reported.

“These editions build upon the IBM Sterling Business Transaction Intelligence Basic Edition complimentary capability of IBM Sterling Supply Chain Business Network (SCBN),” according to the news.

The Sterling BTI Multi-Enterprise Edition uses IBM Blockchain to make a single and secure “version of the truth” for B2B transactions.