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KaizenAI

We leverage your data with Machine Learning to define the sizing and deployment of your field teams & guide their execution to maximize growth

Key Questions to Enhance Performance


1

Are our omnichannel tactics effective?

Productive frequency helps to focus resources efficiently

Productive Frequency

2

Do we have the optimal size and deployment?

Field force resource optimization

Sizing & Deployment

3

Where should we focus our tactics?

Account-centric omnichannel mix

ML-based Call Plan

Key Market Insights


Evolving
Engagement Model

  • Constant landscape changes
  • Increasing Orchestrated Omnichannel Promotion
  • Effective adaptations  to commercially succeed

Data-driven
Approach

  • Multi-dimensional data to measure and drive behaviors
  • Need of feedback Linking Activity to Performance

Leverage Resource
Allocation

  • New ML-based solutions allow to optimize resource allocation
  • Account promotional sensitivity
  • Carryover projections
  • Dynamic vs Static call plans

Goals


Focus effort to obtain the highest return

Identify Growth Opportunities to capture them via recommended execution mix

Tune optimal execution

Call frequency approach for each brand, account & HCP specialty

Omnichannel approach of the execution plan

  • F2F
  • Remote
  • RTEs
  • Events

Benefits


Identifies

Growth Opportunities

Detects

Performance Sensitivity to Tactical Execution

Optimizes

Resource Allocation and Tactics Execution

User Flow


Illustrative data

1
Identify Growth Opportunities
Accounts prioritized by sensitivity & opportunity for each territory
2
Recommended Effort to Capture Them
Break down to Specialty, Channel & Tier with its expected impact
Explains predictive model output by each specialty & channel, as well as promotional sensitivity
3
Rep fine-tuning for each HCP
Collects Reps field knowledge to improve ML model accuracy

AI Explainability


Variable Importance

Incremental sales predictors average of each model

Incremental sales (€)

  • Learns the non-linear interactions between potential, penetration (sales/population), sales in previous period, average price, discounts, & promotional activity… vs incremental sales
  • Detects the sensitivity to promotional tactics & models sales projections based on the commercial activity
  • Recommends the calls per center to maximize the incremental sales in the following cycle, considering the restrictions defined for each customer Tier

Productive Call Frequencies

Sensitivity of incremental sales vs promotional effort (# calls / sales per cycle)

Assessed HCP specialty

Calls during sales cycle

Variables that impact model prediction

How each feature affects sales prediction

Who We are


More than 15 years experience developing and deploying analytics platforms for commercial pharma

International AI competitions winners with experience deploying Machine Learning models to production

Broad range of customers from top 20 to mid-size pharma companies

How We Work


Agile incremental deployment

Our clients


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