Infosys
Infosys — AI-Powered Workforce Demand Forecasting Through InfyMe Platform
Situation
Infosys Limited, India's second-largest IT services company with approximately $18.2 billion in revenue (FY2023) and over 340,000 employees, faced a persistent workforce planning challenge: matching the right skills to the right projects at the right time across a workforce spanning 50+ countries. With a "bench" (unbilled employees) rate that fluctuated between 4-8% of total headcount — representing $500M-$1B in annual unbilled salary costs — even small improvements in forecasting accuracy translated to significant margin gains. Traditional demand forecasting relied on account managers' subjective estimates, resulting in frequent skill mismatches and reactive hiring.
Action
Infosys developed its InfyMe enterprise platform with an integrated AI-powered workforce planning module. The platform consolidated data from project management systems, CRM pipeline data, skills inventories, and historical utilization patterns to generate demand forecasts at the skill-level across a 90-day rolling horizon. Machine learning models were trained on five years of project staffing data to predict demand by technology stack, geography, and seniority level. The platform enabled managers to search the organization for individuals with specific skills, showing adjacent skills in percentages and identifying employees to upskill if exact skillsets were not available. InfyMe also integrated with the company's learning platform to automatically recommend reskilling pathways when forecast demand exceeded available supply for specific skills.
Result
Demand forecast accuracy improved from 65% to 82% at the 30-day horizon and from 45% to 71% at the 90-day horizon. Bench utilization improved by 1.2 percentage points, translating to approximately $200M in additional billable revenue annually. Time to staff new projects decreased from 18 days to 11 days. The platform served 200,000+ employees with access to 280+ services. Proactive reskilling driven by demand signals resulted in 40,000 employees being reskilled annually in high-demand technologies. The improvements contributed to Infosys reporting industry-leading utilization rates above 83% (excluding trainees).
Key Enablers
InfyMe enterprise mobile platform serving 200,000+ employees; ML models trained on 5+ years of project staffing data; integration with CRM pipeline, project management, and HR systems; adjacent-skills matching algorithm; automated reskilling pathway recommendations; investment of $250M annually in training and development infrastructure.
Sources
Related Case Studies
Robert Half International
Robert Half — AI-Driven Demand Sensing for Professional Staffing Placement Optimization
Placement speed (time from job order to candidate presentation) improved from 4
ManpowerGroup
ManpowerGroup — Predictive Labor Market Analytics for Workforce Solutions Planning
Branch-level demand forecast accuracy improved from 58% to 76% at the 60-day ...