Predicting Bid Success with a Case-Based Reasoning Approach: Explainability and Business Acceptance

Abstract

With an ever growing demand for providing AI solutions within business there is a tendency to expect end to end standardised solutions to problems. These solutions are expected to be accurate and to be seamlessly integrated within existing business processes. However, achieving higher accuracy could be detrimental not only to explainability (if a blackbox solution is provided) but also need to be accepted and used within existing business processes. This paper describes a Case-Based Reasoning (CBR) solution to a real problem within a telecommunications company together with the reasoning behind selecting this particular approach. The solution has been integrated within existing business processes which has been a real challenge besides satisfying all the technical ability criteria.