{"name":"aantic-bajaj-guntur","description":"Dealer Operations Intelligence for Bajaj 3-wheelers, WS-Guntur, Andhra Pradesh","version":"7.0.0","url":"https://aantic.ai/api/a2a","skills":[{"id":"revenue-analysis","name":"Service Revenue Analysis","description":"Calculate and analyze service revenue, margins, and profitability for Bajaj 3-wheeler dealership","inputSchema":{"type":"object","properties":{"question":{"type":"string"},"dateRange":{"type":"object"}}}},{"id":"workshop-utilization","name":"Workshop Utilization Analysis","description":"Bay utilization, capacity planning, and benchmarking against NADA standards","inputSchema":{"type":"object","properties":{"period":{"type":"string"}}}},{"id":"parts-forecast","name":"Parts Demand Forecast","description":"Predict parts demand using historical usage, seasonality, and growth trends","inputSchema":{"type":"object","properties":{"monthsAhead":{"type":"number"},"partIds":{"type":"array"}}}},{"id":"customer-attrition","name":"Customer Attrition Detection","description":"Score customers by defection risk using RFM analysis and warranty status","inputSchema":{"type":"object","properties":{"riskThreshold":{"type":"string","enum":["LOW","MEDIUM","HIGH","CRITICAL"]}}}},{"id":"pestel-intelligence","name":"Regional PESTEL Intelligence","description":"Current external signals for Guntur, AP region: labor rates, fuel prices, regulations","inputSchema":{"type":"object","properties":{"dimension":{"type":"string"}}}},{"id":"vehicle-sales-forecast","name":"Vehicle Sales Forecast (Statistical)","description":"Statistical forecast with WMAPE model selection across vehicle models","inputSchema":{"type":"object","properties":{"monthsAhead":{"type":"number"}}}},{"id":"revenue-forecast","name":"Service Revenue Forecast","description":"Forward-looking revenue projections based on historical trends","inputSchema":{"type":"object","properties":{"monthsAhead":{"type":"number"}}}},{"id":"goal-seeking","name":"Goal-Seeking Inverse Decomposition","description":"Decompose a business target into required inputs using historical ratios","inputSchema":{"type":"object","properties":{"targetMetric":{"type":"string"},"targetValue":{"type":"number"}}}},{"id":"payment-analysis","name":"Payment Collection Analysis","description":"Payment collection patterns, outstanding receivables, and payment method distribution","inputSchema":{"type":"object","properties":{"period":{"type":"string"}}}},{"id":"scheduling-analysis","name":"Appointment & Bay Scheduling","description":"Appointment booking patterns, no-show rates, and bay assignment optimization","inputSchema":{"type":"object","properties":{"period":{"type":"string"}}}},{"id":"service-due","name":"Service Due & Warranty Expiry Alerts","description":"Upcoming service due dates and warranty expiry alerts for proactive outreach","inputSchema":{"type":"object","properties":{"daysAhead":{"type":"number"}}}},{"id":"obsolescence-analysis","name":"Parts Obsolescence Detection","description":"Identify obsolete and slow-moving parts using aging analysis and usage patterns","inputSchema":{"type":"object","properties":{"minAgeDays":{"type":"number"}}}},{"id":"capacity-expansion","name":"Capacity vs Expansion Simulation","description":"Compare building new bays vs night shift — investment, breakeven, and ROI analysis","inputSchema":{"type":"object","properties":{"investmentAmount":{"type":"number"},"newBays":{"type":"number"}}}},{"id":"defection-prevention","name":"Defection Prevention Budgeting","description":"Calculate max retention offer using CLV analysis for post-warranty customer defection","inputSchema":{"type":"object","properties":{"defectionRate":{"type":"number"},"roiTarget":{"type":"number"}}}},{"id":"dead-stock-liquidation","name":"Dead Stock Liquidation Bundling","description":"Generate service-bundle pricing for dead/slow-moving parts inventory","inputSchema":{"type":"object","properties":{"targetOverallROMargin":{"type":"number"}}}},{"id":"warranty-risk-simulation","name":"Warranty Risk Simulation","description":"Model impact of OEM warranty reimbursement changes on dealership profitability","inputSchema":{"type":"object","properties":{"reimbursementChangePct":{"type":"number"}}}},{"id":"campaign-breakeven","name":"Campaign Breakeven Analysis","description":"Calculate additional jobs needed to break even on a discount campaign","inputSchema":{"type":"object","properties":{"discountPct":{"type":"number"},"serviceType":{"type":"string"}}}}],"securitySchemes":{"apiKey":{"type":"apiKey","in":"header","name":"X-A2A-Key"}},"capabilities":{"streaming":true,"pushNotifications":false}}