Aclaro — Insurance Vehicle Recommendation Engine
Accelerated insurance underwriting with a Drools-powered vehicle recommendation engine and business-configurable discount rules.
Automated risk assessment
The Challenge
Aclaro needed an intelligent recommendation engine that could evaluate customer campaigns by VIN, recommend service actions, calculate retention discounts dynamically, and optimize offers based on product age, end-of-month timing, and financing status. The business rules changed frequently, requiring a system where non-technical users could modify recommendation logic without code deployments.
نهجنا
Daiviksoft built a JBoss Drools (BRMS) rules engine with REST APIs, enabling business analysts to manage recommendation rules through Excel spreadsheets. The system evaluates customer campaign history against VIN selection criteria, applies multi-factor discount calculations (product age, retention profiles, end-of-month timing, finance status), and routes service queue actions. Multiple rule set versions (v1.0–v4.0) demonstrate iterative refinement of the recommendation logic.
Key Deliverables
Results & Impact
Aclaro launched a production recommendation engine where business analysts modify vehicle selection and discount rules through Excel spreadsheets without developer intervention. The Drools-based architecture processes complex multi-factor recommendations in real time, enabling dynamic customer retention offers optimized for each campaign context.
Project Overview
Client
Aclaro
Category
الذكاء الاصطناعي والتعلم الآلي
Industry
Insurance
Key Metrics
Automated risk assessment
Technology Stack
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