Read White Paper / Data-driven customer journey design using bayesian network methodology
AI-driven solution applications
Sales performance optimization
across the process
Reduction in alignment cycle times
Reduction in call plan generation time
Call plans approved by DMs electronically
Field’s call plan adoption increase
Improvement in insights to field reps
Cost reduction from reduced dependency on consultants
Reduction in field disputes and inquiries
Detailed sales strategy planning for calculated success
How to Approach the Market?
Sales Force Sizing
Deploy Where and When?
Staff By Whom?
A proven partner for agility and quality
AI/ML insights-driven sales ops
Out-of-the-box AI/ML capability
Seamless transition – “One team”
Center of excellence
Commercial model design
Account for virtual, physical and phygital channel design, omnichannel, new customers, roles, outcomes, and datasets.
Account level segmentation and targeting
Promotion response analysis
Fine-tune your promotions strategy and assess marginal ROI with AI/ML-backed analytics to forecast brand performance under different size/structure scenarios and overlapping.
Incentive plan design
Motivate sales teams with fair and equitable quotas through goal-setting techniques, capable of revising quotas by quickly changing floor/capping rules and forecast updates.