USE CASES
Supply Chain Management Decision Flow (ViewpointAI + Clarity)
Our goal: Enable structured, data-driven, and collaborative supply chain decisions by combining human expertise with AI-powered analysis.
1. Decision Criteria (Define Supply Chain Goals)
Purpose: Establish the objectives for supply chain management decisions.
Human Input: Define key criteria such as:
Cost efficiency and total cost of ownership
Supplier reliability, quality, and lead times
Inventory optimization and demand planning
Risk management, including geopolitical, regulatory, and climate risks
Sustainability, compliance, and ethical sourcing
Alignment with business strategy and growth plans
Clarity’s Role: Suggests additional criteria based on historical supply chain performance, industry benchmarks, and predictive analytics.
Output: Weighted decision criteria (“viewpoints”) forming the baseline for evaluation.
2. Data Capture (Build the Supply Chain Data Room)
Purpose: Collect all relevant operational, supplier, and logistics data.
Human Input: Supplier contracts, purchase orders, inventory data, shipment records, quality reports, and market intelligence.
Clarity’s Role: Extracts and standardizes data from multiple sources, identifies gaps or inconsistencies, flags potential risks, and integrates market and supplier performance intelligence.
Output: Centralized, AI-enhanced supply chain data room ready for analysis.
3. Decision Making (Evaluate & Rank Supply Chain Options)
Purpose: Assess supply chain decisions against defined criteria.
Human Input: Review qualitative factors such as supplier relationships, flexibility, and alignment with strategic initiatives.
Clarity’s Role: Scores and ranks suppliers, logistics options, or inventory strategies, highlights trade-offs, risks, and opportunities, and enables scenario modeling (e.g., supply disruption, cost fluctuations).
Output: Ranked list of supply chain options with transparent reasoning and risk assessment.
4. Decision Reporting (Transparency & Verification)
Purpose: Document and communicate supply chain decisions.
Human Input: Approve final decisions and provide context for leadership, operations teams, and stakeholders.
Clarity’s Role: Automatically generates a report showing criteria applied, weighted scores, trade-offs, risks, and supporting data.
Output: Transparent, auditable report suitable for leadership review, compliance, and operational planning.
Core Capabilities Throughout
Human: Strategic insight, operational expertise, judgment, and relationship management
AI (Clarity): Data extraction, scoring, ranking, risk modeling, scenario analysis, predictive insights
Collaboration: Teams across procurement, operations, logistics, and finance can review criteria and provide input
Analysis: Identify patterns, risks, opportunities, and performance trends across the supply chain
Reporting: Automated documentation ensures transparency, accountability, and traceability
Clarity’s role: Acts as an AI co-pilot throughout supply chain management decisions — guiding criteria definition, analyzing options, modeling scenarios, ranking suppliers or strategies, and generating transparent reports — while humans make the final operational decisions.
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