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Transportation Management Systems
Transportation Management Systems for Dispatch and Delivery Execution. Transport teams need a current view of vehicles, drivers, routes, schedules and active deliveries. When dispatch depends on phone calls and spreadsheets, changes become difficult to coordinate.
Xupyter builds transportation workflows around dispatch, assignment, route and delivery operations, with management visibility into active trips and exceptions.
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Trusted by 50+ businesses as their technical partner
100+
Projects delivered
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Industries served
8+
Years in business
Common Problems
- Dispatch plans are maintained in spreadsheets that change throughout the day.
- Driver and vehicle assignments are not visible to everyone who needs them.
- Delivery status depends on calls or messages from drivers.
- Route changes are difficult to communicate and record.
- Vehicle availability and maintenance information is disconnected from dispatch.
- Managers lack a consistent history of trips, delays and delivery exceptions.
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What Your Team Does
- Dispatch creates or receives delivery jobs with the required customer and route information.
- Available vehicles and drivers are assigned according to the operational rules.
- Routes and schedules are issued to the responsible driver or team.
- Drivers or dispatchers update trip and delivery milestones.
- Exceptions such as delays, failed deliveries or vehicle issues are recorded.
- Completed trips remain available for reporting and operational review.
What You See as the Owner or Manager
- Current dispatch workload and active trips.
- Driver and vehicle assignments.
- Delivery progress and exceptions.
- Trip history, delays and operational performance.
- Vehicle availability where it is part of the workflow.
What We Build
Capability | What it handles |
|---|---|
Transport job and | delivery records. |
Driver and vehicle | master data. |
Dispatch and assignment | workflows. |
Route and schedule | management. |
Trip and delivery | milestone tracking. |
Exception and failed-delivery | management. |
Transportation dashboards and | relevant integrations. |
AI Capabilities
AI capability | What it does | Human control |
|---|---|---|
Exception detection | Summarize active routes, delays and outstanding delivery exceptions. | Surfaces items for human review rather than deciding automatically. |
AI-assisted drafting | AI-assisted dispatch recommendations where the required constraints and data are available. | Staff reviews the output before sending or committing it. |
Natural-language queries | Natural-language queries over driver, vehicle and trip records. | Limited to permitted business records and actions. |
Document extraction | Document extraction for delivery paperwork. | Review before important or irreversible actions. |
Exception detection | Classify delivery exception notes for management reporting. | Surfaces items for human review rather than deciding automatically. |
How the Project Works
Stage | What happens | Client involvement |
|---|---|---|
Discovery | map dispatch, vehicle, driver, route, schedule and delivery workflows. | Explain the current process, users and constraints. |
Planning | define operational records, assignment rules, integrations and reporting. | Confirm priorities, scope and required integrations. |
Development | build dispatch and execution workflows around real transport scenarios. | Review working increments and provide operational feedback. |
Testing and launch | validate assignments, route changes, status updates and exceptions. | Validate real scenarios and approve the production workflow. |
Support | improve dispatch controls and reporting as the fleet and operation change. | Provide feedback as requirements and processes change. |
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Frequently asked questions
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What clients
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Warehouse owners, manufacturers, retailers, and startup teams on what it was like to work with us.
5.0
Average rating across 50+ reviews
100+
Projects delivered
10+
Industries served
8+
Years in business
4.9/5
Average rating
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