Skill UI

Guides senior analysts through classifying delays, damages, losses, claims, and carrier disputes, detailing documentation, deadlines, and mode-specific behaviors so freight exceptions are resolved quickly while safeguarding customer satisfaction and financial exposure.

Codified expertise for orchestrating the full returns lifecycle—from authorisations and inspection through disposition, refunds, fraud detection, and warranty claims—to balance customer satisfaction with margin protection across retail, e-commerce, and omnichannel operations.

SimPy is a powerful, process-based discrete-event simulation framework written in Python. It is designed for modeling complex systems where entities interact with shared resources and time-based events occur, such as manufacturing lines, service queues, network traffic, or logistics networks. Use this skill to analyze resource contention, simulate process optimization, conduct capacity planning, and model dynamic system behaviors.

A comprehensive skill set for senior transportation managers overseeing a large, multi-modal carrier portfolio. It covers the full lifecycle of carrier engagement, including sourcing, compliance checks (FMCSA SAFER), executing complex RFPs, negotiating granular rate components (linehaul, FSC, accessorials), and establishing performance scorecards. Use this skill to optimize logistics costs, mitigate supply chain risks, and ensure consistent service quality across varied freight types.

This module is designed to manage and resolve unexpected operational exceptions within the supply chain or logistics process. It helps maintain business continuity and ensures that deviations are handled efficiently, optimizing the overall flow from sourcing to delivery.

Standardized expert guidance for return authorization, inspection, grading, disposition decisions, refunds, fraud detection, and vendor recovery in retail and e-commerce operations.

Persona for planning and managing events with Google Workspace tools, covering calendar scheduling, invitations, shared materials, and live logistics tracking.

A Python library for building and analyzing bounded process-based discrete-event simulations. Supports events, resources, interrupts, and monitoring for modeling queues, logistics, and service operations with reproducible output analysis and validation.

A comprehensive workflow for setting up CI/CD pipelines for Flexport logistics integrations. This tool automates unit testing with mocked data, and executes live API contract validation against the Flexport sandbox upon merging to the main branch. It ensures data transforms and API compatibility across shipment lifecycle events, covering core logistics functions like booking, tracking, and customs documentation.

This skill provides instructions for deploying Flexport logistics integrations across various cloud platforms, including Vercel, Fly.io, and Google Cloud Run. It is essential for setting up reliable, always-on webhook receivers, shipment tracking dashboards, and background workers necessary for comprehensive supply chain automation services in a production environment.

This guide provides a minimal working example for integrating with the Flexport REST API v2. It demonstrates core logistics operations, including listing shipments, retrieving detailed shipment milestones, and listing associated containers. It is ideal for developers starting a new Flexport integration, testing API connectivity, or learning the basic API patterns.

A comprehensive checklist for pre-deployment and go-live procedures for Flexport logistics integrations. This guide covers critical areas such as API authentication setup, robust webhook handling (including idempotency and dead-letter queuing), data integrity validation, continuous monitoring setup, and safe rollback strategies when deploying to a production environment.