Logility
AUGUST 16, 2022
The company was recognized for its work with iNova Pharmaceuticals, a distributor of prescription medicines and healthcare products, to transform its data management, demand and supply planning, replenishment planning and analytics framework. ATLANTA, GA (August 16, 2022) – Logility, Inc., Our business is complex.
SYSPRO Smarter ERP
FEBRUARY 2, 2022
To better understand the possible applications of AI for inventory management, let’s focus our sights on the most common problems that companies face while managing the inventory and establishing efficient supply chains. Effective data management. This enables organizations to plan and avoid stock-outs.
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ToolsGroup
OCTOBER 17, 2017
That’s because the software handles calculations and data management; planners only need to develop and refine data models with variables like lead time between locations, costs and other business intelligence. Click below for a podcast with ideas on how to start leveraging AI for demand management and supply chain planning.
Kinaxis
MARCH 20, 2015
by Alexa Cheater Our partner Celestica recently published the following article, ‘ Are you keeping your demand management process honest? ’ Lange, Director of Demand Planning and S&OP Services at Celestica, examines forecast accuracy and the main components of a demand management measurement tool and process.
Supply Chain Opz
JANUARY 18, 2015
1) Consider S&OP as a Core Commercial Process The pressure to sell one more additional unit is not a product supply challenge; it is a demand management challenge. That can be as simple as changing the agenda, deliverables, and participants of planning meetings, or as complicated as changing data management and ERP systems.
DynaSys
AUGUST 5, 2021
Analytics requires a strong dedication to gathering data as well as data management. By using future scenario planning, you can identify a specific set of uncertainties/different realities and how they may affect the future of your business.
DynaSys
AUGUST 10, 2021
This prevents manual processes, loss of information, and allows you to interconnect apps for modern and dynamic data gathering. Data management allows you to easily pull up information and become proactive rather than reactive to changes in your business environment. Data quality.
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