Success Stories

3X Return on Investment by implementing a ML-based service order demand forecasting model for a leading ATM manufacturer

About the client

A leading ATM manufacturer & self-service solution provider operating across the US

Problems:

  • The customer was operating in multiple US geographies and serving over 100K order requests per month nationally. However, the customer lacked a data-driven workforce planning and allocation process which led to idle times, impacted service order fulfillment, which in turn, caused revenue leakage and diminished brand image

Solution:

  • Innover developed an advanced Machine Learning driven service order demand forecasting model by region in just 6 weeks by leveraging past 24 months historical order data.
  • Analyzed demand seasonality and order completion time for each task category, peak hours; and identified statistically significant time-slots for future planning
  • Created a demand planning and capacity allocation simulator dashboard
  • Delivered field force capacity (hours) allocation recommendations, in terms of task category and time slot

Impact Delivered:

3X

Return on investment

~30%

Reduction in the number of resources

~16%

Reduction in idle time

Partners

Partnership with Adobe | Our Partners
Partnership with Argos Labs | Our Partners
Partnership with Arctic Wolf | Our Partners
Partnership with Baxter Planning | Our Partners
Partnership with Blitzz | Our Partners
Partnership with BlueLeap | Our Partners
Partnership with Conversight.ai | Our Partners
Partnership with Field Nation | Our Partners
Partnership with Microsoft | Our Partners
Partnership with Rank | Our Partners
Partnership with RedLambda | Our Partners
Partnership with Vertex | Our Partners

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