Understanding the XAI Framework for MLM Commission

The growth of a direct selling company depends upon ranks, legs, volumes, bonuses, and incentives of the compensation engine the company uses. But for the distributors to feel successful, payout they receives plays a vital role. The distributor receive commission for their performance they make, but they are unaware about the logic behind the calculations. The Explainable AI (XAI) framework is used for making the changes made in commission process understandable. If any change is made in this compensation structure, XAI explains why a payout changed, and how ranks, overrides, and bonuses are calculated. The XAI technique SHAP method and counterfactual explanations solve complexities by explaining exactly which factors contributed to each payout and how making small changes can impact the result. Hosted on Acast. See acast.com/privacy for more information.