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Tavant Manufacturing Analytics Platform
Tavant Technologies, Inc.
Tavant Manufacturing Analytics Platform
Tavant Technologies, Inc.
Tavant Manufacturing Analytics Platform
Tavant Technologies, Inc.
AI Models to Elevate Your After Sales Business
Tavant Manufacturing Analytics Platform (TMAP)
AI-Driven Service Intelligence to Elevate Your Aftersales Business
TMAP Landing Page:
Welcome to Tavant Manufacturing Analytics Platform (TMAP) on Azure Marketplace
Overview: Tavant Manufacturing Analytics Platform (TMAP) revolutionizes aftersales management for manufacturing enterprises with its advanced AI-driven analytics solutions. TMAP integrates seamlessly with Azure, empowering businesses to enhance operational efficiency, reduce costs, and elevate service quality.
Value Proposition: TMAP offers comprehensive AI-driven enterprise analytics tailored for manufacturing aftersales teams, providing:
- Reduction in operational costs and resource utilization optimization.
- Enhanced service quality and proactive maintenance strategies.
- Revenue growth through optimized pricing and IoT monetization.
- Focus on total cost of ownership and uptime assurance for service excellence.
Key Features and Capabilities:
- Comprehensive AI-Driven Analytics: Leverage ML-based models, predictive analytics, GenAI-based knowledge management, insights, dashboards, metrics, and forecasting models tailored for manufacturing aftersales services.
TMAP Module Highlights:
- Warranty.AI: Streamline claims automation, optimize warranty spend, Peer Averaging and Warranty Reserve.
- Price.AI: Optimize pricing strategies, analyze competitor pricing, and forecast parts demand.
- Field.AI: Provide real-time support, optimize workforce management, and enhance service recommendations.
- Knowledge.AI: Optimize structured and unstructured data, facilitate smart search, and automate knowledge creation.
- Connect.AI: Monitor IoT devices, predict failures, and integrate data with business applications.
- Quality.AI: Predict machine failures, analyze quality metrics, and facilitate recalls analysis.
- Contract.AI: Forecast service demand, analyze profitability, and optimize service contract performance.
Challenges Solved by TMAP:
- High Warranty Costs: Automates claims management and optimizes warranty spend.
- Inefficient Service Operations: Enhances efficiency with real-time insights and predictive analytics.
- Suboptimal Parts Pricing: Optimizes service parts pricing through AI-driven strategies.
- Unplanned Downtime: Reduces downtime with early warning systems and failure prediction.
- Complex Data Management: Simplifies data handling with AI-powered knowledge management.
- Customer Satisfaction Challenges: Improves service quality and responsiveness based on customer insights.
- Operational Inefficiencies: Streamlines field service operations and improves fix rates.
- Lack of Predictive Capabilities: Provides advanced ML-based predictive analytics.
- Compliance and Quality Issues: Manages compliance and enhances product quality with early warnings and root cause analysis.
- Service Contract Management: Optimizes service contracts with demand forecasting and profitability analysis.
Benefits:
- Real-Time Insights: Make proactive decisions with current data insights.
- Industry-Specific Expertise: Standardize processes and reduce data engineering efforts.
- Advanced Predictive Capabilities: Forecast trends, detect anomalies, and prevent issues in real-time.
- Wide Range of AI Models: Securely process and store data insights with flexibility.
- Flexible APIs: Integrate seamlessly with existing systems for customized analytics and reports.
Learn more
TMAP Overviewhttps://store-images.s-microsoft.com/image/apps.44565.5b5cfb01-a879-4a69-ab6c-d8f12a7aad48.4e9b4a79-d504-4180-b0a6-b1092bf3ad04.b9741290-dbdf-4937-a503-a67fef5b3ced
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