AIMMS to exhibit Prescriptive Analytics Platform at the Gartner Supply Chain Executive Conference 2016

AIMMS, the Prescriptive Analytics software vendor that serves half of the Global Fortune Top 20 companies, will exhibit at the Gartner Supply Chain Executive Conference 2016.

With over 25 years in the Advanced Analytics industry, AIMMS is trusted by companies like Xerox, Shell, AstraZeneca and Unilever to drive supply chain innovation. The company will exhibit its Prescriptive Analytics platform at this year's Gartner Supply Chain Executive Conference, taking place on 19-20 September in London.

Prescriptive Analytics Offer the Best Recommended Actions for your Supply Chain

Prescriptive Analytics is a type of Advanced Analytics that is rising in popularity and adoption. Unlike Descriptive (focused on reporting with basic trend or pattern recognition) or Predictive Analytics (focused on predicting the future with forecasting techniques), Prescriptive Analytics determines ways in which business processes should evolve or be modified.

AIMMS was recently listed as a vendor for Prescriptive Analytics in Gartner's Hype Cycle for Chief Supply Chain Officers 2016 report. The company was also listed as a sample vendor for Optimisation in the recent Gartner Hype Cycle for Data Science 2016 report. As Gartner explains, the use of Prescriptive Analytics and Optimization can help companies improve decision-making and solve critical business problems more quickly.

Today, no company is immune to disruption. Events like the Brexit, fluctuating demand and copious amounts of data are compelling global leaders to find new opportunities for improving growth, innovation, profitability and agility. Increasing supply chain complexity can slow you down just when you need to accelerate and outpace competitors. To thrive in this challenging environment, the use of analytics for fact-based decision making is essential.

AIMMS PRO provides decision support for:

  • Planning Decisions – capital project planning, supply chain planning, portfolio optimisation
  • Production & Manufacturing Decisions– production planning and scheduling, inventory management, warehouse management
  • Logistics & Transportation Decisions – Network design and optimisation, fleet sizing
  • Sourcing Decisions – Supplier optimisation, disruption planning, capacity planning

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