Logistics

Optimizing the Global Movement of Goods

Deploy AI systems that solve complex routing, demand forecasting, and warehouse automation challenges, delivering measurable cost reduction and operational efficiency for global 3PLs, carriers, and shippers.

Book a 2-week architecture sprint All markets

What we design for

Directional planning targets, not guaranteed results from a published case study.

  • 12-18% reduction in transportation costs
  • 94% ETA prediction accuracy
  • 35%+ improvement in warehouse throughput
  • Real-time supply chain visibility

Use cases

Where production AI shows up in logistics

Example shapes we engineer around. Scope, integrations, and success criteria are defined per engagement.

01

Dynamic Route Optimization Engine

Deliver more with less, optimize every mile, every stop, in real-time

The problem

Static route planning wastes 15-20% on fuel and time. Dispatchers manually adjust for traffic, weather, and customer changes, a process that doesn't scale. Drivers end up with suboptimal routes, excessive mileage, and missed delivery windows. Meanwhile, fuel costs continue to rise and customer expectations for precise delivery times increase.

How we approach it

Deploy AI-powered route optimization that continuously recalculates the most efficient routes considering real-time traffic, weather, delivery windows, vehicle capacity, and driver hours. Our engine handles thousands of stops across hundreds of vehicles, dynamically re-routing as conditions change throughout the day.

How it works

  1. 01Order ingestion consolidates deliveries with time windows, priorities, and special requirements
  2. 02Constraint modeling captures vehicle capacity, driver hours, hazmat restrictions, and customer preferences
  3. 03Multi-objective optimization balances cost, time, service levels, and carbon footprint
  4. 04Real-time re-optimization adjusts routes for traffic, weather, and order changes
  5. 05Driver mobile app provides turn-by-turn navigation with dynamic updates

Impact to design for

Planning ranges, not audited case metrics.

-18%

Fuel Cost

Optimized mileage through smarter routing

+25%

Stops Per Route

More deliveries in the same driver hours

94%

On-Time Delivery

Reliable ETAs with dynamic adjustment

-90%

Planning Time

Automated route generation in minutes

Capabilities

  • Real-time traffic integration
  • Multi-constraint optimization
  • Dynamic re-routing
  • Driver mobile app
  • Carbon footprint tracking
02

Demand-Driven Inventory Positioning

Right stock, right place, right time, before customers even order

The problem

Poor inventory positioning causes 35% of warehousing costs. Excess stock in low-demand locations ties up working capital while stockouts in high-demand areas lose sales and frustrate customers. Traditional forecasting relies on historical averages that miss demand signals, seasonal shifts, and market changes. Replenishment decisions are reactive rather than predictive.

How we approach it

Deploy ML-powered demand sensing that predicts what customers will need, where, and when, then automatically positions inventory across your distribution network. Our system ingests POS data, market signals, weather forecasts, and promotional calendars to generate accurate forecasts and optimal inventory deployment recommendations.

How it works

  1. 01Multi-signal demand sensing combines historical sales, market trends, and external factors
  2. 02ML forecasting generates SKU-location predictions with confidence intervals
  3. 03Network optimization determines ideal inventory positioning across DCs and stores
  4. 04Automated replenishment triggers POs and transfer orders based on projected demand
  5. 05Continuous learning improves forecast accuracy from actual sales outcomes

Impact to design for

Planning ranges, not audited case metrics.

-30%

Stockouts

Proactive positioning prevents lost sales

+35%

Inventory Turns

Less dead stock, more available-to-sell

-$3.2M

Warehouse Costs

Optimized storage and handling efficiency

92%

Forecast Accuracy

Reliable demand predictions for planning

Capabilities

  • Multi-echelon optimization
  • External signal integration
  • Safety stock optimization
  • Automated replenishment
  • Promotional demand modeling
03

Predictive Shipment Visibility

Know where every shipment is and when it will arrive, with 94% accuracy

The problem

Only 40% of shipments have accurate ETAs beyond a 4-hour window. Customers and operations teams are left in the dark, flooding call centers with "where is my order" inquiries. When delays occur, reactive communication damages customer relationships. Logistics teams spend hours manually tracking shipments across carriers and modes without a unified view.

How we approach it

Provide real-time visibility across all shipments, carriers, and modes with AI-powered ETA predictions that achieve 94% accuracy within 30-minute windows. Our platform consolidates tracking data from GPS, carrier APIs, and IoT sensors, then applies ML to predict delays before they impact customers and trigger proactive communication.

How it works

  1. 01Multi-modal tracking aggregates GPS, carrier API, and IoT sensor data across all shipments
  2. 02ML models analyze traffic, weather, port congestion, and historical patterns
  3. 03ETA predictions update continuously with 30-minute accuracy windows
  4. 04Exception detection identifies at-risk shipments before delays impact customers
  5. 05Automated customer communication proactively notifies of status changes

Impact to design for

Planning ranges, not audited case metrics.

94%

ETA Accuracy

Within 30-minute delivery windows

-60%

WISMO Calls

Customers self-serve with accurate tracking

85%

Proactive Alerts

Notify customers before they call

+25pts

Customer Satisfaction

Improved NPS from visibility and communication

Capabilities

  • 200+ carrier integrations
  • IoT sensor connectivity
  • ML-powered ETA prediction
  • Exception management
  • Customer notification automation

Integrations

Connect to what you already run

No rip-and-replace. We wire into the systems of record your team already owns.

Transportation Management

Native connectivity to your TMS enables optimization without disrupting existing planning and execution workflows.

  • Oracle Transportation Management

    Bidirectional integration for shipment planning, execution, and freight payment

  • SAP TM / SAP Logistics Business Network

    Real-time visibility and optimization within SAP transportation workflows

  • Blue Yonder TMS

    Embedded optimization and visibility for JDA/Blue Yonder transportation planning

Warehouse Systems

Connect warehouse operations for end-to-end visibility from order to delivery.

  • Manhattan WMS

    Inventory visibility and order status integration for fulfillment coordination

  • Blue Yonder WMS

    Real-time inventory and order data for demand-driven replenishment

  • SAP EWM

    Extended warehouse management connectivity for complex distribution operations

Standards & Connectivity

Industry-standard data formats and protocols for universal integration across your logistics network.

  • EDI X12 / EDIFACT

    Standard electronic data interchange for carrier, customer, and vendor communication

  • GS1 Standards

    Barcode and RFID data standards for item-level tracking and serialization

  • Carrier API Gateway

    Pre-built connections to 200+ carriers for real-time tracking and booking

Building in Logistics?

Bring the workflow or product job, the systems involved, and the constraints. We will tell you whether a sprint or pilot is the right next step.

Book a 2-week architecture sprint