Late shipments are a symptom. Disconnected data is the disease.
Logistics runs on precision timing across dozens of moving parts: fleets, carriers, warehouses, customs, customers, and last-mile partners. Each generates data. Almost none of it talks to the rest.
You have more data than ever. Fewer answers than you need.
Every system in your logistics network produces data. Shipment status, carrier performance, warehouse throughput, fuel costs, customer exceptions. The problem is not data volume. It is that none of it arrives together.
Your TMS shows a shipment in transit. Your carrier portal shows a delay. Your customer has already called. The data existed to predict and prevent this, but it was in three separate systems that never spoke to each other. Every customer exception that could have been prevented is a service-level failure, a credit, and a relationship at risk.
Carrier surcharges, accessorial fees, fuel cost variances, and detention charges accumulate across dozens of lanes and providers. By the time finance reconciles carrier invoices against planned rates, the month is closed and the quarter is nearly done. There is no mechanism to course-correct in time.
Lane analysis, network design, and carrier selection are driven by quarterly reports compiled from exported spreadsheets. The real-time signals, load factors, dwell times, on-time performance by lane and day, are locked in operational systems that analytics teams cannot access without a data engineering project.
Real-time logistics intelligence, built on a governed data foundation
LakeStack connects every system across your logistics network into a single, continuously updated foundation. Every use case below runs from the same governed source.
TMS, carrier API, tracking, and customer order data are unified into a live shipment intelligence layer. Operations teams see every in-transit shipment, its predicted arrival versus committed time, and the reason for any deviation, in a single governed view. Exception management becomes proactive, not reactive. Customer communications are based on facts, not estimates.
- Predict delivery exceptions 12-24 hours before they occur and trigger automated alerts
- Unify carrier tracking across all providers into a single real-time shipment view
- Give customer service teams live shipment data so they answer before customers call
Carrier performance data, rate contracts, invoice actuals, surcharge patterns, and lane-level on-time delivery are unified so procurement and operations leadership can score every carrier relationship on what it actually costs and what it actually delivers. Tender acceptance, capacity reliability, and accessorial charge frequency become negotiating leverage, not unknowns.
- Score carrier performance by on-time delivery, damage rate, and total landed cost per lane
- Identify accessorial charge patterns before they repeat across the next billing cycle
- Build data-backed carrier scorecards for contract renegotiation and RFP processes
WMS, labor management, dock scheduling, and inventory data are unified so operations leaders see throughput, pick accuracy, inbound dwell time, and outbound on-time departure across every facility. Bottlenecks that cost you hours of throughput every day are visible before they cascade. Labor allocation decisions are based on current floor data, not yesterday's report.
- Track inbound and outbound throughput by facility, shift, and dock door in real time
- Identify pick and pack accuracy issues before they become customer returns
- Align labor deployment to live workload, reducing overtime and missed SLAs simultaneously
Fleet telematics, route data, fuel transaction records, and maintenance schedules are unified so fleet managers and CFOs see utilization rates, cost per mile, driver performance, and maintenance cost trends across the entire network. Route optimization becomes data-driven. Fuel anomalies are flagged before they become a loss line item.
- Reduce empty miles with utilization analysis across fleet, lane, and time of day
- Flag fuel consumption anomalies by driver and route before costs compound
- Align preventive maintenance scheduling to actual utilization data, not calendar intervals
When lane profitability, volume trends, dwell times, and customer service performance all flow into a governed data foundation, network design moves from an annual exercise to a continuous capability. COOs and VPs of Supply Chain can model the impact of adding a cross-dock, changing a carrier mix, or restructuring a distribution tier, using actual operational data, not assumptions.
- Model network redesign scenarios using real lane cost, volume, and service-level data
- Identify underperforming lanes and facilities with unified cost and service analytics
- Support strategic M&A and network expansion decisions with live operational benchmarks
Governed data across carriers, partners, and borders
Logistics data crosses legal jurisdictions, customer confidentiality boundaries, and carrier contract boundaries. LakeStack governs it at every handoff.
Carrier performance data, rate information, and operational data shared with third-party partners are governed by policy, not by trust. Access controls define what each carrier or 3PL partner can see. Every data exchange is logged and auditable. Contract confidentiality is enforced, not assumed.
In multi-shipper logistics environments, customer shipment data, volume, lane, and service-level information, is sensitive commercial intelligence. LakeStack enforces account-level data isolation so one customer's data never reaches another's view, with full audit trails proving it.
Logistics operations cross jurisdictions with different data residency and privacy requirements. GDPR, CCPA, and country-specific customs data regulations are managed through data residency controls and access policies that travel with the data, not just the network.
Every system across your logistics network, unified
LakeStack connects operational, financial, and customer-facing systems into one governed foundation without replacing any source system.
- TMS platforms (Blue Yonder, Oracle, SAP TM)
- Carrier tracking APIs and EDI feeds
- Freight audit and payment systems
- Rate management and contract platforms
- Customs and compliance systems
- WMS platforms (Manhattan, Blue Yonder, SAP EWM)
- Labor management systems
- Dock scheduling and yard management
- Inventory and slotting systems
- Returns management platforms
- Fleet telematics and GPS tracking platforms
- Fuel card and transaction systems
- Driver management and HOS data
- Maintenance management systems
- Route planning and optimization tools
- Order management systems (OMS)
- ERP platforms (SAP, Oracle, Microsoft)
- Customer portals and visibility tools
- CRM and account management systems
- Financial and invoice reconciliation
What unified logistics data delivers
Results across service levels, cost efficiency, and decision speed that operations and finance leadership can present to the board.
Proven business impact
The organizations that win in healthcare are and will be data-defined.
Various AWS competency designations across the industries and use cases where real-time data movement and governed analytics matter most.
- Supports Agentic AI using Bedrock and SageMaker
- Uses Apache Iceberg open table format
- Enforces Lake Formation fine-grained governance
- Handles schema drift automatically every time
- Provides built-in active metadata and lineage
- Features self-healing real-time pipelines
- Eliminates all third-party tool dependencies
- Enables query flexibility with any engine
- Ensures full data sovereignty and control
- Offers automatic sensitive data classification
The full LakeStack platform, built for logistics
Frequently asked questions
LakeStack connects to carrier systems through REST APIs, EDI integrations, and file-based feeds without requiring changes to carrier or partner systems. New carrier integrations use pre-built connector templates, reducing onboarding time from weeks to days. Existing EDI workflows are not disrupted.
Yes. Many logistics organizations have inherited multiple TMS or WMS platforms across acquired businesses or regional operations. LakeStack connects each platform independently and applies consistent data models, so OTD, cost per shipment, and throughput metrics are calculated the same way across every system in the network.
For organizations with existing carrier API access or EDI feeds, initial carrier performance dashboards can be operational within weeks. The timeline depends on the number of carriers, the quality of rate data, and the complexity of scoring logic. LakeStack is built to deliver early visibility quickly, with dashboards expanding as more sources connect.
Telematics and GPS tracking systems generate high-velocity event data. LakeStack uses incremental and streaming ingestion patterns to handle this volume efficiently, ensuring that fleet dashboards and anomaly detection models receive current data without the cost of reprocessing the full historical dataset on every refresh.
Yes. Customer-level data isolation is enforced through role-based access controls and attribute-based policies. Each customer portal or reporting interface sees only the data within their account boundary. LakeStack maintains audit logs proving that isolation was enforced for every access event.
LakeStack implementations for 3PLs typically start with a priority customer account or mode of transport, establish the core data foundation and governance model, then expand to additional customers and carriers. The governance framework built for the first deployment, including customer data isolation policies and carrier integration templates, is reused across the expansion.
Your network is moving. Your data should keep up.
LakeStack unifies every system across your logistics network into a real-time, governed foundation so you can predict exceptions before they happen, control costs before they compound, and make network decisions on live data, not last quarter's summary.
