USE CASES
Car Buying Decision Flow (ViewpointAI + Clarity)
Our goal: Enable structured, data-driven, and collaborative car purchase decisions by combining human preferences with AI-powered analysis.
1. Decision Criteria (Define Car Buying Goals)
Purpose: Establish what you want to achieve with your car purchase.
Human Input: Define key criteria such as:
Budget and financing options
Fuel efficiency or energy type (gas, hybrid, electric)
Vehicle size, capacity, and seating requirements
Safety ratings and reliability
Brand preference and design
Features: technology, comfort, and driver-assist options
Resale value and maintenance costs
Clarity’s Role: Suggests additional criteria based on historical vehicle performance, market pricing, and owner reviews.
Output: Weighted decision criteria and viewpoints forming the baseline for evaluation.
2. Data Capture (Build the Car Data Room)
Purpose: Collect all relevant information about potential car options.
Human Input: Vehicle listings, manufacturer specifications, reviews, dealership offers, and pricing data.
Clarity’s Role: Extracts and standardizes data, identifies gaps or discrepancies, and integrates market insights such as incentives, discounts, and depreciation trends.
Output: Centralized, AI-enhanced car data room ready for evaluation.
3. Decision Making (Rank & Compare Car Options)
Purpose: Evaluate car options against defined criteria.
Human Input: Consider subjective factors such as comfort, aesthetics, and personal preferences.
Clarity’s Role: Scores and ranks vehicles, highlights trade-offs (e.g., cost vs. features), models scenarios (e.g., fuel cost over 5 years), and provides transparent reasoning for each option.
Output: Ranked list of car options with clear insights for making the final choice.
4. Decision Reporting (Transparency & Verification)
Purpose: Document and communicate the car buying decision rationale.
Human Input: Approve the final choice and note any contextual preferences.
Clarity’s Role: Automatically generates a report showing criteria applied, weighted scores, trade-offs, risks, and supporting data.
Output: Transparent, auditable report for review, personal record, or discussion with family/partners.
Core Capabilities Throughout
Human: Preferences, judgment, lifestyle context, personal priorities
AI (Clarity): Data extraction, scoring, ranking, trade-off analysis, scenario modeling
Collaboration: Family members or co-buyers can review criteria and provide input
Analysis: Identify patterns, costs, trade-offs, and optimal choices
Reporting: Automated documentation ensures clarity, transparency, and traceability
Clarity’s role: Acts as an AI co-pilot throughout the car buying process — guiding criteria definition, analyzing options, modeling trade-offs, ranking vehicles, and generating transparent reports — while humans make the final purchase decision.
Let’s Build Smarter, Faster Decisions Together
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