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Funding Your Way to a Decarbonized Supply Chain

AIMMS

For that, long-term supply chain planning and budgeting needs data to back every decision. The chart below shows the breakdown per industry. See how a manufacturing giant revamped their demand planning with AIMMS. Check out how AIMMS helps you to model and optimize your CO2 impact.

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Prescriptive Analytics is Going Mainstream. Is your Organization Ready?

AIMMS

AIMMS has been in the market of prescriptive analytics (otherwise known as mathematical optimization) since 1989. At AIMMS, we recognized this trend several years ago. This ultimately led us to launch AIMMS PRO and AIMMS SC Navigator later on. . More investment in data science . We turned 30 this year.

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Prescriptive Analytics is Going Mainstream. Is your Organization Ready?

AIMMS

AIMMS has been in the market of prescriptive analytics (otherwise known as mathematical optimization) since 1989. At AIMMS, we recognized this trend several years ago. This ultimately led us to launch AIMMS PRO and AIMMS SC Navigator later on. . More investment in data science . We turned 30 this year.

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Costly mismatch between supply and demand? Take our quiz for chemical companies and find ways to improve

AIMMS

S&OP helps you effectively achieve your company strategy. AIMMS and ORTEC have developed a methodology to assess the maturity of the S&OP process. What do we see in the industry? These are many issues that arise when teams don’t have a centralized S&OP workflow and common access to data. – Tweet this.

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Key learnings from Supply Chain Insights’ Global Summit

AIMMS

It’s clear that industry professionals recognize that supply chains: . One use case I found particularly interesting was using data coming out of AI and Machine Learning (pattern recognition) to create what-if scenarios and actionable insights on the fly. Are becoming increasingly complex . Are exposed to increasing variability .

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Key learnings from Supply Chain Insights’ Global Summit

AIMMS

It’s clear that industry professionals recognize that supply chains: Are becoming increasingly complex. One use case I found particularly interesting was using data coming out of AI and Machine Learning (pattern recognition) to create what-if scenarios and actionable insights on the fly. Are exposed to increasing variability.

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Key learnings from Supply Chain Insights’ Global Summit

AIMMS

It’s clear that industry professionals recognize that supply chains: Are becoming increasingly complex. One use case I found particularly interesting was using data coming out of AI and Machine Learning (pattern recognition) to create what-if scenarios and actionable insights on the fly. Are exposed to increasing variability.