Microvention Case Study

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MicroVention increase in measuring forecast accuracy

Distributor sees 28% increase in measuring forecast accuracy.

MircoVention, a subsidiary of the Japanese Terumo Medical Corporation, develops devices and technologies that treat vascular diseases and associated complications such as brain aneurysms. Based in Tustin, California, MicroVention has grown rapidly and expanded its physical footprint to include manufacturing and administrative facilities in Santa Ana and Aliso Viejo, California and in San Jose, Costa Rica.

When MicroVention opened its manufacturing facility in Costa Rica, unit sales and production line growth has already begun to outstrip their management’s ability to meet demand cost effectively. The reason was simple. MicroVention was operating with inadequate technology and outdated processes for forecasting demand and planning operations.

Prior to when MircoVention implemented Vanguard Predictive Planning™, sales and operation planners had to hustle through manual processes for gathering data and preparing forecasts each month. These processes were not only labor intensive, but rife with guesswork, input error and formatting inconsistencies. The result was unreliable sales forecasts, which led to faulty demand planning, ill-timed production scheduling, and unsustainable high operating costs.

MicroVention was not only wasting valuable human resources on the compilation and management of spreadsheets, the output of those spreadsheets was difficult to interpret and unfit for critical planning purposes. They needed a unified, enterprise-grade solution for reducing forecast effort, increase measuring forecast accuracy, and streamlines operations to reduce production costs and maximize sales.

Vanguard Predictive Planning™ handily captured all monthly historical data and auto-generated a baseline for measuring forecasts accuracy.

Download our case study to learn how Vanguard Predictive Planning™ enabled MicroVention to see:

  • 90% decrease in labor hours dedicated to forecasting preparation.
  • 28% increase in forecast accuracy.