Success Stories

Enhancing field service efficiency by improving demand predictability for a Global Hi-Tech OEM

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:

$650k

Annual cost savings

30%

Overtime reduction

16%

Idle time reduction

Partners

Adobe | Innover - AI & Machine learning
Arctic Wolf | Innover - Digital Transformation Solutions
AWS | Innover - Intelligent Automation Solutions
Blitzz | Innover - Digital Transformation
BlueLeap | Innover - Building Connected, Insight-Driven Businesses
Field Nation | Innover - Data Science
GAICHU | Innover - Data Analytics and AI
Google | Innover - Digital Transformation Service Provider
Microsoft | Innover - Digital Transformation Solutions
Oracle | Innover - Artificial Intelligence Solutions
Red Lambda | Innover - ML Solutions
SAP | Innover - Machine Learning Solutions
Snowflake | Innover - Robotic Process Automation Solutions
Thomson Reuters | Innover - Digital Transformation Services
UI Path | Innover - RPA Solutions
UPS | Innover - Digital Services Provider
Vertex | Innover - Digital Transformation Services
VSI | Innover - AI Solutions

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