article thumbnail

Overcoming The Barriers to Use Channel Data

Supply Chain Shaman

End-to-End Definition Implementation of enterprise data architectures to improve order-to-cash and procure-to-pay. Insights from market data to drive bi-directional orchestration. With the increase in market variability, why do companies not use channel data to model demand patterns to decrease demand latency?

article thumbnail

Supply Chain Planning & Optimization Projections for 2018 - Back to the Future

Logility

For many, the current state includes difficulties interfacing IoT data in a high quality, repeatable fashion. Most companies just aren’t at the point where consuming this firehose of data is feasible. Supply Chain Data Quality and Ownership. The answer might surprise you. Talent Gap.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Five Trends That Excite Me!

Supply Chain Shaman

Master data management and standards are the bane of B2B connectivity. Can artificial intelligence make standard discussions obsolete, and master data management roles no longer necessary? Data today does not move at the speed of business. Future of Analytics in the Building of Supply Chain 2030.

article thumbnail

Late Night Thoughts on Productivity, Efficiency and Global Supply Chain Effectivness

Supply Chain Shaman

We also confirmed the return of Tom Bonkenburg of St Onges, a leading expert on robotics and autonomous vehicles along with Gita Gopinath, a leading economist from Harvard on China and India to speak on Globalization versus Nationalism and the impact on Supply Chain 2030. Or an order management workforce? So, why do I do this?

article thumbnail

Seasoned Leadership in Action™ – An Interview with Fiona Lowbridge, VP at ALOM!

Supply Chain Game Changer

With an integrated technology-driven infrastructure that captures and analyzes vast data streams for up-to-the-minute and accurate reporting, we can plan for demand, anticipate and mitigate disruption, and rapidly scale or shift capacity to build, fulfill, and deliver incredible volumes of orders.

article thumbnail

Achieve the Environmentally Sustainable Supply Chain Consumers Demand

Logility

Solid analytics and reporting work with these technologies to make incremental changes to environmental sustainability that reduce waste, speed delivery, and improve quality. . It’s predicted that AI can reduce global greenhouse gas emissions by 4% by 2030, which is 2.4 Carbon Footprint and Energy Reduction .