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Logistics

Ship faster. Route smarter. See your supply chain in real time.

We build multi-carrier shipping platforms, warehouse management systems, route optimization engines, and real-time tracking dashboards for logistics operators. The software that cuts shipping costs, reduces delivery times, and gives you visibility across every mile.

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15%

Shipping cost savings

99.9%

API uptime

Overview

You're leaving 10-15% of your shipping spend on the table

Logistics software development at 1Raft focuses on the three areas that most directly impact margin: carrier selection, warehouse efficiency, and supply chain visibility. We bring patterns from 100+ products across adjacent industries to build multi-carrier platforms, WMS optimization, predictive tracking, and route engines - each engineered to drive measurable cost reduction and operational speed.

Logistics runs on razor-thin margins where every inefficiency - a suboptimal carrier choice, a poorly slotted warehouse, a late delivery - compounds into millions in lost revenue. Most logistics operators still compare rates manually, manage warehouses with static slotting plans, and track shipments through carrier portals instead of a unified system.

Our multi-carrier shipping platforms auto-select the cheapest reliable carrier for every parcel, warehouse systems re-slot inventory weekly based on demand patterns, and tracking platforms predict delivery delays 6-12 hours before carriers report them.

Every product we build integrates with existing TMS, WMS, and ERP systems - SAP, Oracle, Manhattan Associates, Blue Yonder, and custom platforms. We connect to carrier APIs, IoT devices, and telematics systems. No rip-and-replace required.

Experience Signal

1Raft builds multi-carrier shipping platforms, warehouse management systems, route optimization engines, and real-time tracking dashboards for 3PLs, freight brokers, and enterprise shippers. Our engineering draws on patterns validated across 100+ products in adjacent industries.

15%

Shipping cost savings

99.9%

API uptime

See case study

Industry Pain Points

What's broken in logistics

01

Multi-carrier rate comparison is done manually or through outdated rate tables, leaving 10-15% in shipping savings unrealized across parcel, LTL, and FTL

02

Warehouse slotting is static - set once during layout and never updated - causing pick times 30-40% longer than optimized layouts

03

Shipment tracking relies on carrier-provided data that's often delayed 4-8 hours, leaving customer service without answers and customers without confidence

04

Route planning for local delivery and fleet operations uses fixed routes instead of dynamic optimization based on daily order patterns and traffic

05

Supply chain disruptions - port delays, carrier capacity crunches, weather events - are identified reactively instead of predicted and mitigated proactively

Solutions

Problems we solve in logistics

Each solution is built from patterns we've validated across 100+ products. No experiments on your budget.

01

Multi-Carrier Rate Optimization

Compares rates, transit times, and reliability scores across carriers in real time for every shipment. Auto-selects the optimal carrier based on cost, speed, and service-level requirements. Handles parcel, LTL, FTL, and international.

02

Smart Warehouse Management

Dynamic slotting that repositions inventory based on velocity, order patterns, and seasonal demand. AI-optimized pick paths that reduce walking distance and pick time. Wave planning that maximizes throughput during peak periods.

03

Predictive Shipment Tracking

Aggregates tracking data from all carriers into a single view. Predicts delays using weather, carrier performance history, and route data. Proactively notifies customers and triggers exception handling before missed SLAs.

04

Dynamic Route Optimization

Optimizes delivery routes daily based on order locations, time windows, vehicle capacity, traffic patterns, and driver hours. Re-optimizes in real time when new orders or cancellations arrive.

05

Supply Chain Risk Intelligence

Monitors port congestion, carrier capacity, weather events, and geopolitical signals. Scores risk levels for active shipments and suggests mitigation actions - alternative carriers, routes, or sourcing options - before disruptions impact delivery.

Use Cases

Real-world use cases

Multi-Carrier Shipping Platform for an E-Commerce Shipper

Problem

An e-commerce company shipping 180,000 parcels monthly used 4 carriers but selected carriers manually based on zone charts. Shipping costs consumed 14% of revenue with no systematic optimization.

What we built

We built a multi-carrier rating engine that queries all carrier APIs in real time, factors in dimensional weight, surcharges, and transit time reliability, and auto-selects the optimal carrier for each shipment. Added rules engine for service-level overrides and hazmat routing.

Result

Shipping costs dropped 12.4% - saving $1.8M annually. On-time delivery improved from 91% to 96.2%. Carrier mix shifted dynamically, reducing dependence on any single carrier. Label generation time dropped from 45 seconds to 3 seconds per shipment.

Warehouse Optimization for a 3PL

Problem

A 3PL operating a 340,000 sq ft warehouse with 28,000 SKUs used static slotting and paper-based picking. Average pick time was 4.2 minutes per line with 2.1% error rate. During peak season, overtime costs spiked 65%.

What we built

We built a WMS module with AI-driven slotting that re-optimizes weekly based on order velocity, pick frequency, and item affinity. Added optimized pick-path routing and mobile-first picking interface with barcode scanning.

Result

Average pick time dropped to 2.6 minutes per line. Error rate fell to 0.4%. Peak season overtime reduced 38%. Warehouse throughput increased 48% without additional headcount or square footage.

Real-Time Tracking for a Freight Broker

Problem

A freight broker managing 2,400 active shipments daily relied on carrier portals and phone calls for status updates. Customer service answered 600+ 'where is my shipment' calls per day. ETA accuracy was within 24 hours.

What we built

We built a unified tracking platform that aggregates data from all carriers via API, EDI, and telematics. Added a predictive ETA model trained on historical transit data, weather, and traffic. Customer-facing tracking page with proactive delay notifications.

Result

WISMO calls dropped 71%. ETA accuracy improved to within 2.3 hours. Customer satisfaction scores increased 1.2 points. Operations team redirected 4 FTEs from tracking to revenue-generating activities.

Our Approach

How we approach logistics projects

1
Phase 1· Weeks 1-2

Logistics Operations Audit

We analyze your shipping spend, warehouse performance, carrier mix, and supply chain visibility. We quantify where you're losing money to suboptimal routing, inefficient picking, and poor tracking.

Deliverables

  • Shipping cost analysis with carrier-level and lane-level breakdowns
  • Warehouse performance audit - pick time, error rate, throughput, and slotting efficiency
  • Prioritized opportunity list ranked by cost savings and implementation speed
2
Phase 2· Weeks 3-4

System Design and Integration Planning

We design the product with your logistics, warehouse, and IT teams. Every integration point - TMS, WMS, ERP, carrier APIs, IoT devices - is mapped before build.

Deliverables

  • Technical architecture with integration specifications for all systems
  • Carrier API integration plan with rate table and tracking data flows
  • Data architecture for shipment, inventory, and performance analytics
3
Phase 3· Weeks 5-10

Build, Integrate, and Pilot

We build in sprints and pilot with a subset of shipments or a single warehouse first. Real operational data validates the product before full rollout.

Deliverables

  • Working product deployed in pilot scope
  • Performance metrics from real shipment and warehouse data
  • Optimization backlog based on pilot learnings
4
Phase 4· Weeks 11-12

Full Rollout and Continuous Optimization

We roll out across all operations with location-specific and lane-specific configuration. AI models improve continuously as more shipment and warehouse data feeds into the system.

Deliverables

  • Full operational deployment across all facilities and lanes
  • Logistics performance dashboard tracking cost, speed, and accuracy
  • Quarterly optimization plan tied to cost reduction and SLA targets

Outcomes

Measurable outcomes

10-18% reduction in shipping costs through AI-powered multi-carrier rate optimization
35-50% improvement in warehouse pick efficiency through dynamic slotting and path optimization
60-75% reduction in 'where is my shipment' inquiries through predictive tracking and proactive notifications
12-20% decrease in fleet fuel costs through dynamic route optimization

Pattern Transfer

1Raft built real-time anomaly detection for fintech transaction monitoring before applying the same streaming-data architecture to shipment delay prediction. Both problems require processing high-velocity data streams, detecting deviations from expected patterns, and triggering automated responses in seconds. The data changed; the engineering approach didn't.

Services

Services for logistics

Proof

LogisticsMulti-Carrier Shipping Platform
15%

Cost reduction

12

Weeks to launch

Read case study

Frequently asked questions

Projects range from $50K-$200K. A multi-carrier shipping platform starts around $60K. A full WMS with AI-driven slotting and pick optimization runs $100K-$180K. Real-time tracking platforms typically fall in the $50K-$120K range. We provide a fixed estimate after a strategy session.

Next Step

Every percentage point of shipping cost you don't optimize is margin you'll never recover.

One call with a founder. No sales team, no follow-up sequence. If we can't help, we'll say so.

Get a logistics technology assessment
View logistics case studies