LookML to AI: The Next Generation Analytics in Looker 
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Make Supply Chain Data a Competitive Advantage

Unify logistics data across freight, warehousing, delivery, and carriers to drive predictions, alerts, and faster decisions.

Proudly Serving These Innovators

Amway
PosiGen
ttec
FloQast
bidgely
sunrun

End-to-End Logistics Analytics with Dataplatr

Logistics Data Strategy

Logistics Data Strategy and Roadmap

Define the right analytics priorities across freight, warehousing, inventory, and last-mile, with AI use cases scoped alongside traditional KPI work from day one.

Multi-Source Data

Multi-Source Data Integration

Connect TMS, WMS, ERP, carrier APIs, IoT sensors, fuel data, and order management systems into one clean, AI-ready data layer, structured for both reporting and model training.

Ops and Executive Dashboards

Ops and Executive Dashboards

Replace spreadsheet-heavy reporting with live dashboards for lane performance, warehouse KPIs, and delivery SLAs with AI-generated commentary highlighting what changed and why.

AI Anomaly Detection

AI Anomaly Detection and Alerting

Continuous AI monitoring flags delivery delays, carrier performance drops, and cost spikes the moment they deviate from expected patterns, before they compound.

Predictive Demand Models

Predictive Demand and Volume Models

ML-driven forecasting for shipment volume, seasonal surges, and lane demand, so procurement, capacity, and staffing decisions are made on foresight, not hindsight.

Ongoing Analytics Management

Ongoing Analytics Management

Keep dashboards accurate, AI models retrained on fresh data, and reports reliable as your network, carriers, and business priorities evolve.

Start with a Logistics Analytics Pilot Program

  • 2–4 week pilot engagement
  • Use-case-driven logistics implementation
  • Measurable ROI before scaling
  • Joint execution with Dataplatr analytics teams

How AI-Powered Analytics Improves Logistics Operations

Dataplatr uses AI across logistics analytics to track issues, predict risks, and support faster decisions.

Shipment Exception Summarization

  • AI reads carrier delay signals, weather events, and gate logs to summarize exception causes and recommend rerouting options in plain language without anyone writing a report.
Shipment Exception Summarization

Automated Performance Narratives

  • Auto-generate plain-language carrier QBR summaries from raw KPI data. AI writes the story behind the numbers, so your team walks into reviews prepared.
Automated Performance Narratives

Predictive Volume Forecasting

  • ML models trained on your historical shipment data, seasonal patterns, and market signals, so capacity planning stops being reactive and starts being accurate.
Predictive Volume Forecasting

Rate and Contract Intelligence

  • AI parses rate cards, contract terms, and accessorial schedules to flag cost overruns and surface negotiation leverage before renewal conversations happen.
Rate and Contract Intelligence

Proactive Delay Notifications

  • Synthesize tracking data, estimated windows, and root cause context to generate personalized delay updates for customers automatically, at scale.
Proactive Delay Notifications

Document and Audit Assist

  • AI extracts key fields from BOLs, invoices, and customs docs to reduce manual entry and flag discrepancies before they surface in audits or claims.
Document and Audit Assist

Moving Beyond Traditional Metrics: What Your Logistics Operations Can Achieve Today

Modern AI-Powered Outcomes

Perfect order rate with AI root-cause insights

Cost per unit by lane, carrier, and SKU

AI-predicted delivery reliability

Stockout risk forecasts

Labor efficiency and dock throughput insights

Early AI alerts for potential disruptions

Traditional Metrics

Number of shipments dispatched

Total freight spend

Average transit time

Order volume by week

Warehouse headcount

Exception count

Our Proven Logistics Analytics Framework

A clear approach to unify logistics data, track performance, and improve operations with analytics and AI.

  • Connect freight, warehouse, inventory, carrier, order, delivery, and supplier data from multiple systems.

  • Bring logistics data into one trusted platform for reporting, analytics, and AI use cases.

  • Clean and organize raw logistics data by removing duplicates, fixing missing values, and standardizing formats.

  • Analyze shipments, routes, inventory movement, warehouse activity, and delivery performance to identify delays, cost issues, and service gaps.

  • Track KPIs such as on-time delivery, freight cost, order cycle time, inventory turnover, perfect order rate, and carrier performance.

  • Use insights to improve routes, reduce costs, prevent stockouts, improve warehouse efficiency, and strengthen delivery performance.
Data Integration
Data Warehouse
Data Pre-Processing
Logistics Performance Analysis
Performance Monitoring
Optimization

Ready to Modernize Logistics with Data and AI?

Talk to Dataplatr experts to improve visibility, efficiency, and decision-making.

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