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Carrier performance tracking and reporting

Purpose

1.1. Provide real-time and historical insights into carrier performance, including delivery times, reliability, claims, and exceptions handling.
1.2. Automate collection, aggregation, and reporting of carrier KPIs, such as on-time rate, damage rates, lead times, and customer feedback.
1.3. Enable data-driven decisions on preferred carriers, contract negotiations, and corrective actions based on performance analytics.
1.4. Streamline logistics optimization, SLA enforcement, and continuous improvement for corporate agricultural machinery supply chains.

Trigger Conditions

2.1. Scheduled reporting time (e.g., daily, weekly, or monthly).
2.2. Arrival of new shipment tracking updates or delivery confirmations.
2.3. Exception or incident detected (e.g., delayed delivery, damaged goods).
2.4. Receipt of customer feedback related to delivery experience.
2.5. Carrier self-reported data updates via portal or API.

Platform Variants

3.1. SAP Logistics
• Feature/Setting: SAP Transportation Management module; Configure automatic extraction of carrier KPIs via SAP Fiori apps or RFC API.
3.2. Oracle Transportation Management
• Feature/Setting: OTM Analytics Cloud; Set up REST API polling for carrier status and performance events.
3.3. Salesforce
• Feature/Setting: Transportation objects and custom reports; Use Scheduled Flows to export carrier performance records.
3.4. Microsoft Power BI
• Feature/Setting: Power BI Dataflow; Connect to SQL/REST endpoints for real-time carrier metrics dashboards.
3.5. Google BigQuery
• Feature/Setting: Scheduled Query Jobs; Pull event data from carrier APIs and aggregate performance stats.
3.6. Snowflake
• Feature/Setting: Snowpipe ingestion; Automate data loading from logistics and carrier APIs for reporting.
3.7. AWS Lambda
• Feature/Setting: Scheduled Lambda triggers; Process carrier webhooks and load structured event data into S3/Redshift.
3.8. Azure Logic Apps
• Feature/Setting: Recurring workflow triggers; Set up connectors for logistics platforms and notifications.
3.9. Tableau
• Feature/Setting: Live connection to carrier feeds; Auto-refresh dashboards on carrier updates.
3.10. Twilio
• Feature/Setting: SMS/WhatsApp API; Configure notifications for exception alerts to logistics teams.
3.11. SendGrid
• Feature/Setting: Dynamic email reports; Use API to send carrier performance summaries.
3.12. Slack
• Feature/Setting: Scheduled messages; Integrate with analytics tools via webhook for incident reporting.
3.13. ServiceNow
• Feature/Setting: Automated incident record creation via REST integration for failed deliveries.
3.14. Jira
• Feature/Setting: API ticket creation for carrier issues logged automatically from reports.
3.15. Zendesk
• Feature/Setting: Case creation on negative delivery feedback via carrier webhook feed.
3.16. Zoho Analytics
• Feature/Setting: Scheduled data imports; Generate carrier scorecards and KPIs for stakeholders.
3.17. NetSuite
• Feature/Setting: SuiteAnalytics Workbook; Import carrier data via REST/SOAP integration for compliance tracking.
3.18. SAP Ariba
• Feature/Setting: Supplier Risk module; Auto-ingest carrier performance for risk dashboards.
3.19. FedEx Web Services
• Feature/Setting: Notifications and tracking API; Aggregate event messages for each shipment and carrier.
3.20. UPS Developer Kit
• Feature/Setting: Tracking API; Fetch and log status change events for delivery SLA monitoring.
3.21. DHL eCommerce API
• Feature/Setting: Webhook subscription; Route delivery milestones to analytics/reporting workflow.
3.22. Power Automate
• Feature/Setting: Cloud Flow on schedule or event; Consolidate carrier data across systems for reporting.
3.23. HubSpot
• Feature/Setting: Custom objects and workflows; Sync delivery feedback with carrier records via API.

Benefits

4.1. Enhanced visibility and accountability for all logistics partners.
4.2. Automated, accurate, and timely carrier performance reports.
4.3. Faster response to delivery issues and incident management.
4.4. Data-driven contract reviews and partner negotiations.
4.5. Reduction of manual effort and improved logistics team productivity.
4.6. Improved customer satisfaction through better partner selection and communication.

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