Inbound shipment visibility
Connect purchase orders, supplier dispatch data, carrier updates and expected receiving dates. Alert procurement, production or warehouse teams when a material arrival becomes vulnerable.
Use Case • Logistics & Transportation • Supply Chain & Inventory
Supply Chain Visibility Software for Shipment Exceptions
Connect shipment events across systems, carriers, locations and documents. Mimasa AI helps logistics teams create shipment visibility, detect delay risks and coordinate approved action before service commitments are missed.
Use AI agents and governed workflows around your existing TMS, WMS, ERP, carrier and telematics systems. Give operations teams a current view without replacing the platforms they already depend on.
Human-in-the-loop controls | Role-based access | Auditable workflows | Cloud, private-cloud/VPC and on-premise deployment
TMSWMSERPCarrier APITelematicsEmail & docs
Risk explanation (illustrative)
Port dwell exceeds the configured threshold. Predicted arrival now falls after the customer commitment. Evidence: 3 carrier events, 1 email, 1 booking record.
Assigned owner
Ocean desk · Exception queue
Approve customer update
The Gap
A Shipment Is Visible Only When Its Events Make Sense Together
Tracking data often exists. Operational clarity does not.
A single shipment can generate booking records, dispatch events, GPS updates, warehouse scans, carrier messages, port milestones, emails and documents. Those signals may arrive with different identifiers and at different times.
Mimasa AI connects these signals into a governed operational context. Instead of another isolated map, teams get evidence, priorities and a controlled path to action.
Teams Still Have to Determine
- Which milestone was expected?
- Which update is missing or late?
- Is the shipment likely to breach an SLA?
- Which customer, order or production plan will be affected?
- Who owns the next response?
- What action is permitted?
Definition
What Is Supply Chain Visibility Software?
Supply chain visibility software helps organizations understand the location, status and progress of goods across suppliers, carriers, facilities and delivery points.
Effective visibility requires more than displaying a tracking event. It must relate each event to the correct shipment, order, route, milestone, customer commitment and operational owner.
Mimasa adds an AI and workflow layer to visibility. It connects authorized data, analyses shipment progress, identifies exceptions and coordinates the next approved step.
Six Steps
From Shipment Data to an Approved Response
- 01
Connect shipment sources
- Input
- TMS, WMS, ERP, carrier APIs, GPS or telematics, databases, spreadsheets, email and documents.
- Decision
- Which authorized sources describe this shipment?
- Output
- A connected event stream per shipment.
- 02
Match shipment context
- Input
- Identifiers, orders, routes, carriers, containers, milestones, customers and service levels.
- Decision
- Do the records agree with each other?
- Output
- A matched shipment record, with gaps flagged for validation.
- 03
Monitor expected milestones
- Input
- Planned events compared with received events.
- Decision
- Did departure, arrival, handoff, dwell, customs, warehouse or delivery happen on plan?
- Output
- A live milestone status per shipment.
- 04
Detect exceptions and risk
- Input
- Missed updates, prolonged dwell, route deviation and predicted delay.
- Decision
- Which exposure matters most right now?
- Output
- A prioritized exception with supporting evidence.
- 05
Assign and approve
- Input
- Business rules, ownership map and permission policy.
- Decision
- Does this action affect a customer, carrier or connected system?
- Output
- A task with a recommended response awaiting the required approval.
- 06
Act and learn
- Input
- The approved decision.
- Decision
- Which system or person should receive it?
- Output
- An alert, record update, report or escalation, with the execution history preserved.
Modes And Handoffs
Shipment Visibility Across Modes and Handoffs
Outbound delivery visibility
Follow an order from dispatch through carrier milestones and delivery. Connect customer commitments with current shipment status and approved communications.
Freight visibility across partners
Create a shared operational view across shippers, forwarders, carriers and internal teams using the data each party is authorized to provide. A freight visibility platform is only as current as its connected sources, so every event should retain its source and timestamp.
Ocean freight visibility
Connect available booking, container, port and carrier milestones. Identify missing events, extended dwell and changing arrival expectations. Mimasa does not independently supply ocean or container tracking data.
Multimodal transportation visibility
Relate events across road, air, ocean and warehouse handoffs. Give operations teams one investigation path even when the shipment moves through several systems.
Real Time
Real-Time Shipment Visibility That Leads to Action
Real-time shipment visibility is useful when teams can distinguish a material exception from routine movement.
Mimasa can evaluate events as connected systems make them available. It compares those events with planned milestones and configured thresholds, then initiates a workflow when attention is required.
“Real time” refers to processing connected events as they become available. It does not imply that Mimasa creates unavailable source data. For organizations pursuing real time supply chain visibility, the first requirement is reliable access to the systems and partners that generate each operational event.
- A pickup milestone has not arrived by the expected time.
- A shipment remains at a facility longer than the allowed dwell threshold.
- The latest ETA creates a potential customer SLA breach.
- An inbound material delay may affect a production requirement.
- A delivery event is present but the required proof-of-delivery document is missing.
- A carrier status and internal shipment record do not agree.
ETA Risk
Predict ETA and Prioritize Delay Risk
When sufficient historical and current data is available, Mimasa can help estimate arrival risk using shipment, lane, carrier, milestone and route performance.
An ETA is a decision input, not a guarantee. Mimasa can show the supporting evidence, apply confidence thresholds and escalate uncertain cases for human review.
Teams Can Compare
- Planned ETA
- Current carrier ETA
- Model-predicted ETA
- Remaining milestone risk
- Customer or operational commitment
Exception Workflow
Turn Logistics Exceptions Into Governed Workflows
A delayed shipment affects more than the operations desk. It may require coordination across customer service, procurement, manufacturing, warehouse, finance and leadership.
- Step 1
Detect the exception.
- Step 2
Summarize relevant shipment evidence.
- Step 3
Identify the configured owner.
- Step 4
Recommend the next permitted action.
- Step 5
Request approval when required.
- Step 6
Create tasks or update connected systems.
- Step 7
Record the action and resolution.
This closes the gap between logistics visibility software and day-to-day execution.
Agents
AI Agents for Shipment Visibility
Mimasa combines AI agents with deterministic workflow rules. Agents act only within configured access, tools and approval policies.
Shipment monitoring agent
Reviews incoming events against the expected milestone plan and identifies missing or delayed updates.
ETA risk agent
Analyses available shipment history and current signals to prioritize likely delays.
Exception investigation agent
Collects relevant events, records, emails and documents into a concise evidence-linked summary.
SLA monitoring agent
Compares current shipment progress with customer or internal commitments.
Communication preparation agent
Drafts an internal or customer update using approved context. A person can review it before sending.
Operations reporting agent
Produces exception summaries, route views and management reports from governed data.
Every Role
Shipment Tracking Analytics for Every Role
- Operations and dispatch teams
- See prioritized shipments, investigate evidence and assign the next response.
- Freight forwarders and 3PL teams
- Connect milestones across customers, carriers, modes and partner handoffs.
- Procurement and production teams
- Understand which inbound delays may affect materials, schedules or supplier commitments.
- Warehouse teams
- Prepare for changing arrivals and investigate delayed receiving or dispatch milestones.
- Customer service teams
- Access the current approved shipment context without searching across several systems.
- Operations leadership
- Review exception volume, resolution time, route performance and SLA exposure.
Integration
Works With Your Existing Logistics Systems
Mimasa is not a shipment tracking device or transportation management system. It connects relevant enterprise data and coordinates intelligence around the systems of record.
Integration availability depends on the customer environment, source permissions and implementation scope.
- Transportation and warehouse management systems
- ERP and order-management applications
- Carrier and partner APIs
- GPS, IoT and telematics platforms
- Operational databases and data warehouses
- Email and shared storage
- Excel and CSV files
- Bills of lading, POD records and shipping documents
Representative Scope
A Representative Freight Visibility Implementation
For a Dubai-based freight organization, Mimasa AI has worked on a scope covering ETA prediction, logistics optimization, exception alerts, SLA dashboards and natural-language operational questions.
This reflects the core value of the solution: connect shipment context, identify risk and give teams a faster route from investigation to controlled response.
Measurement
Measure Shipment Visibility and Exception Performance
These are measurement areas, not guaranteed outcomes. Each implementation requires an agreed baseline and target.
- Percentage of shipments with current milestone data
- On-time pickup and delivery
- ETA variance and prediction accuracy
- Missing or delayed milestone rate
- Dwell time by facility, lane or carrier
- Exception volume by cause
- Time to acknowledge and resolve exceptions
- SLA risk and breach rate
- Customer-update response time
- Proof-of-delivery completeness
Governance
Security, Governance and Deployment
Shipment visibility may include customer information, commercial routes, shipment location and operational decisions.
Organizations determine which data users and agents may access, and which actions require approval.
- Role-based access control
- Human approval steps
- Governed data access
- Audit trails and execution history
- Evidence-linked agent outputs
- Cloud deployment
- Private-cloud or VPC deployment
- On-premise deployment
Shipment Visibility FAQs
Common questions about supply chain visibility software and logistics exception management.
Platform
Capabilities Behind This Use Case
AI agents for logistics workflows
Agents that monitor milestones, investigate exceptions and prepare recommendations.
Governed workflow automation
Rules, permissions, approvals and connected system actions.
Shipment document extraction
Read bills of lading, POD records, invoices and email attachments.
Governed logistics data
Access control, lineage and collaboration across logistics teams.
Logistics dashboards
Operational views for shipments, lanes, carriers and facilities.
Logistics insights and reporting
Exception summaries and management reviews from governed data.
Related Logistics Solutions
Detailed pages for these solutions are in preparation.
Logistics Control Tower
A network view across shipments, inventory, suppliers and carriers.
Freight & Transportation Analytics
Lane, carrier and cost performance analysis.
Freight Audit & Invoice Automation
Invoice reconciliation and surcharge validation.
Freight Document Automation
Extraction and validation of operational shipping documents.
Fleet Performance Intelligence
Utilization, route and maintenance patterns from connected data.
Move From Tracking Events to Resolving Exceptions
Start with one measurable shipment workflow. Connect the required sources, define the expected milestones and show how Mimasa AI can help your team detect risk and coordinate action sooner.