Background Mobile
Logistics IconLogistics

Logistics Software Development

Transport, warehouse, fleet and last-mile systems for carriers, 3PLs and shippers, built for depots with poor signal, gloved hands and trading partners who implement EDI differently.

Logistics Architecture Ecosystem
TMSWMSEDITelematicsRoute optimisation
Customs

TRUSTED BY TEAMS

letest.ai
Propmodel
aloomah
yeeld
Nostromarkets
Pharmy
/// INTRODUCTION

Sodio builds logistics software development covering transportation management, warehouse management, fleet, consignment tracking, last-mile delivery, freight forwarding and cold chain, plus logistics AI for route optimisation, ETA prediction and warehouse slotting.

Logistics software fails in predictable places: connectivity in depots and on the road, trading partners who implement EDI inconsistently, and multi-leg consignments where several carriers each hold a partial truth about where something is.

Logistics Setup Workspace

/// WHAT MAKES LOGISTICS SOFTWARE DIFFERENT

Built for Depots, Not for Desks

Logistics Workstation Setup
01/

Harsh Environments

Logistics software runs in places nobody designs software for. A trailer yard at five in the morning, a warehouse aisle with no signal, a cab with one hand free. Systems built for a desk do not survive there, and the people using them will work around anything that slows them down.

02/

Connectivity

Connectivity is the first constraint. Offline-first capture, queued syncing that survives a mid-transfer drop, and idempotent uploads so a retry does not create a second delivery record. Most driver apps that get abandoned assumed coverage.

03/

EDI Integration

EDI is the second, and ignoring it is not an option. It remains the backbone of carrier, customer and customs messaging, and trading partners implement the same transaction sets inconsistently. That means a mapping layer and per-partner testing rather than a single integration, and it is usually underestimated in scope.

04/

Multi-Leg Consignments

Multi-leg consignments are the hardest modelling problem. A shipment changes hands several times, each carrier holding its own reference, milestones and data quality. The system has to reconcile that into one view the customer can read, while preserving each carrier's record for settlement and dispute.

05/

Unforgiving Metrics

And the metrics are unforgiving. Cost per drop, drops per shift, on-time delivery, dock turnaround — every operator reports them weekly, which means software either moves them or it does not.

/// LOGISTICS SOLUTIONS

Logistics Software We Build

Blockchain Consultation

Blockchain Consultation

dApps Development Service

dApps Development Service

Crypto Wallet Development

Crypto Wallet Development

Centralized Exchange Development

Centralized Exchange Development

DEX Development

DEX Development

Layer 2 Development

Layer 2 Development

Layer 1 Blockchain Development

Layer 1 Blockchain Development

Substrate Development Services

Substrate Development Services

Smart Contract Development

Smart Contract Development

Smart Contract Audit

Smart Contract Audit

Real World Asset Tokenization

Real World Asset Tokenization

ICO Development

ICO Development

NFT Marketplace Development

NFT Marketplace Development

Web3 Game Development

Web3 Game Development

Private Blockchain Development

Private Blockchain Development

Create a new Crypto/Token

Create a new Crypto/Token

Gradient

///SHARED WITH ADJACENT INDUSTRIES

EV and Supply Chain Operations

Charger management, energy usage, range planning and EV-specific fleet operations

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Multi-tier supplier visibility, traceability and network-level planning

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Gradient

///AI FOR LOGISTICS OPERATIONS

AI for Logistics Operations

Logistics is the easiest sector in which to prove AI value, because every operator already reports the numbers these models move: cost per drop, drops per shift, on-time rate, dock turnaround, pick path length.

Multi-stop routing against time windows, vehicle constraints and real traffic. The largest single cost lever in the sector.

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Arrival prediction from live position, traffic and historical performance, with alerts before the customer calls.

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Product placement that shortens pick paths. Labour is the largest warehouse cost line and slotting is the lever nobody markets.

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Matching fleet, labour and warehouse capacity to forecast volume rather than last year's pattern.

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Spot rate forecasting by lane and mode, so procurement decisions are timed rather than reactive.

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Bills of lading, customs declarations, commercial invoices and proof of delivery extracted into structured data.

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Component failure prediction from telematics, so vehicles come off the road on your schedule rather than mid-route.

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///SYSTEMS AND STANDARDS

Systems and Standards We Work With

/// Messaging & integration
EDI X12 and EDIFACT
EDI X12 and EDIFACT
API integration
API integration
AS2
AS2
Carrier webhooks
Carrier webhooks
Customs messaging
Customs messaging
/// TMS & WMS platforms
SAP TM and EWM
SAP TM and EWM
Oracle OTM
Oracle OTM
Manhattan
Manhattan
Blue Yonder
Blue Yonder
Körber
Körber
Descartes
Descartes
/// Telematics & devices
Fleet telematics APIs
Fleet telematics APIs
OBD
OBD
Barcode and RFID scanners
Barcode and RFID scanners
Rugged handhelds
Rugged handhelds
Temperature loggers
Temperature loggers
/// Mapping & routing
Google Maps Platform
Google Maps Platform
Mapbox
Mapbox
HERE
HERE
OSRM
OSRM
Valhalla
Valhalla
Commercial routing solvers
Commercial routing solvers
/// Carrier & parcel
Major carrier APIs
Major carrier APIs
Rate shopping
Rate shopping
Label generation
Label generation
Tracking aggregation
Tracking aggregation
/// Backend & data
Node.js
Node.js
Python
Python
Go
Go
PostgreSQL with PostGIS
PostgreSQL with PostGIS
Kafka
Kafka
Time-series storage
Time-series storage
/// AI & optimisation
Constraint solvers
Constraint solvers
Forecasting models
Forecasting models
Document extraction
Document extraction
PyTorch
PyTorch

/// HOW WE WORK

How We Work on Logistics Projects

STEP 1

Operational walkthrough

We follow a consignment and a shift rather than reading a spec. Where the current process breaks, what the depot signal is actually like, and which trading partners send what in which format.

STEP 2

Free solution architecture

Integration map per system and partner, offline strategy, data ownership per field, optimisation approach and a costed delivery plan. Yours to keep whether or not you build with us.

STEP 3

MVP in 30 days

One flow end to end with real data — a consignment booked, moved, delivered and settled. Enough to expose the edge cases that a spec never contains.

STEP 4

Production build in 90 days

Full build with integrations, EDI partner onboarding and monitoring. Depot rollouts are phased site by site with training and a rollback path.

///FEATURED CASES

Future-Proof Software for Your Business

At Sodio, we deliver mobile apps, web apps, blockchain (DApps), AI integrations, SaaS platforms, and custom software development. Our innovative solutions are scalable, secure, and user-friendly, designed to drive growth and efficiency, keeping your business ahead in the competitive landscape. Trust Sodio for your digital transformation needs.

Jiffy

Jiffy

Developed JiffyCharge, an IoT-powered, on-demand power bank rental platform engineered for seamless portable charging access.

AppIOTOn Demand
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TATA Steel

TATA Steel

An enterprise sales management platform for TATA Steel to optimize order fulfillment, track multi-tier distribution networks, and streamline B2B sales workflows.

EnterpriseAppSales
View Detail

/// FAQ

Frequently Asked Questions

Usually. Most modern platforms expose APIs or event streams, and the established ones support EDI. Older or heavily customised installations often mean scheduled file exchange or database extraction instead. The harder question is which system owns each data field once two systems disagree about where a consignment is — we establish that during discovery, because it is where logistics integrations fail later.

Yes. EDI remains the backbone of carrier, customer and customs messaging, and any system that ignores it will not survive contact with a real network. We build against the common transaction sets and handle the practical reality that trading partners implement them inconsistently, which means a mapping layer and per-partner testing rather than one integration.

It depends on how routes are planned today. Where planning is manual or fixed, the gains are usually substantial — fewer miles, more drops per shift, better time-window compliance. Where a mature optimiser already runs, improvements are incremental and come from better constraint modelling rather than a different algorithm. We measure against your current cost per drop before and after rather than quoting a percentage from someone else's case study.

It should not, and designing for it is the difference between an app drivers use and one they work around. That means offline-first data capture, queued syncing that survives a mid-transfer drop, idempotent uploads so a retry does not duplicate a delivery, and an interface that stays usable with no connection. Most driver apps that get abandoned assumed coverage.

Yes, and it is one of the harder modelling problems in logistics. A consignment can change hands several times, each leg with its own reference, milestones and data quality. The system has to reconcile that into one view the customer can read while preserving each carrier's record for settlement and dispute resolution.

For a defined scope we target a working MVP in 30 days and a core production build in 90. Logistics extends when carrier or customs integrations, EDI partner onboarding or a phased depot rollout are involved. We flag which apply during the free solution architecture rather than after work begins.

/// RELATED SERVICES

Related Industries and Services

Services that complement logistics software development.

/// GET STARTED

Start With One Consignment

Tell us how a consignment moves through your network today and which systems touch it. We will prepare a free solution architecture covering integrations, offline strategy, optimisation approach and delivery phases, so you can judge the approach before committing.

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