Executive Briefings

Artificial Intelligence Meets Inventory Optimization

Inventory optimization vendors are starting to leverage artificial intelligence as a means to optimize complex supply chains for large stock holdings and multiple stocking locations, according to the Technology Value Matrix for Inventory Optimization released by Nucleus Research.

Artificial Intelligence Meets Inventory Optimization

“IO meets AI to deliver better value and the best ROI,” said Ian Campbell, CEO of Nucleus Research, a provider of investigative, case-based technology research and advisory services. “Our latest value matrix shows early leaders in this category embracing artificial intelligence as a powerful way to differentiate their offerings and deliver better solutions. Vendors that ignore this trend risk losing market share to savvier AI-enabled applications.”

The matrix shows that vendors applying machine intelligence to their solutions can more quickly identify emerging patterns and fix supply chain issues in near real time, as they arise. Additionally, leading vendors are adding predictive and tracking features to improve functionality.

“Artificial intelligence is accelerating the high value that inventory optimization can bring to retailers and consumer packaged goods manufacturers that struggle to make it in the omnichannel commerce arena. Two of the leading vendors have already integrated machine learning and genetic algorithms as part of their offering to help flag inventory problems and quickly propose solutions,” said James Cooke, principal analyst at Nucleus Research.

Additionally, vendors are starting to offer cloud-based options that provide a more flexible solution with faster deployment times. Integrated analytics is another trend, enabling advanced demand signals such as point of sales data, as the replenishment input rather than sales orders.

The full Report is available.

Source: Nucleus Research

“IO meets AI to deliver better value and the best ROI,” said Ian Campbell, CEO of Nucleus Research, a provider of investigative, case-based technology research and advisory services. “Our latest value matrix shows early leaders in this category embracing artificial intelligence as a powerful way to differentiate their offerings and deliver better solutions. Vendors that ignore this trend risk losing market share to savvier AI-enabled applications.”

The matrix shows that vendors applying machine intelligence to their solutions can more quickly identify emerging patterns and fix supply chain issues in near real time, as they arise. Additionally, leading vendors are adding predictive and tracking features to improve functionality.

“Artificial intelligence is accelerating the high value that inventory optimization can bring to retailers and consumer packaged goods manufacturers that struggle to make it in the omnichannel commerce arena. Two of the leading vendors have already integrated machine learning and genetic algorithms as part of their offering to help flag inventory problems and quickly propose solutions,” said James Cooke, principal analyst at Nucleus Research.

Additionally, vendors are starting to offer cloud-based options that provide a more flexible solution with faster deployment times. Integrated analytics is another trend, enabling advanced demand signals such as point of sales data, as the replenishment input rather than sales orders.

The full Report is available.

Source: Nucleus Research

Artificial Intelligence Meets Inventory Optimization