TMS for Retail & Last Mile
Transportation Management System with AI route optimization, fleet management, real-time tracking and last-mile orchestration for e-commerce and retail. ARIA agents for time prediction and continuous optimization.
The problem
Your delivery logistics is burning money and destroying the experience
Without optimization and visibility, every delivery costs more than necessary and the customer doesn't know when their order arrives.
Shipping costs that destroy margin
Without route optimization, every delivery costs more than necessary. Half-loaded vehicles, inefficient routes and constant redeliveries that multiply cost per order.
No delivery chain visibility
The customer asks where their order is and you have no answer. Carriers operate as a black box. No tracking, no ETAs, no control over the experience.
Manual carrier and route management
Route assignment in Excel, communication via WhatsApp, paper proof of delivery. Scaling the operation is impossible with manual processes.
Unpredictable delivery times
Without estimation algorithms, delivery windows are wide and imprecise. The customer waits all day and the first-attempt success rate drops.
Redeliveries that multiply costs
Without proactive notifications or precise delivery windows, the redelivery rate exceeds 20%. Each redelivery costs almost as much as the original delivery.
No data to optimize operations
You can't measure what you don't track. Without KPIs per carrier, zone and delivery type, logistics decisions are made by intuition.
Capabilities
A complete TMS for modern retail logistics
From route optimization to proof of delivery, everything in an AI-integrated platform.
AI-powered Route Optimization
VRPTW algorithms considering traffic, vehicle capacity, delivery windows, priority and geographic restrictions.
Own and Third-party Fleet Management
Smart assignment, real-time GPS tracking and comparative KPIs per own and external carrier.
Real-time Customer Tracking
Tracking page with dynamic ETA, WhatsApp/SMS/email notifications and digital proof of delivery with photo and signature.
Last-mile Orchestration
Same-day, next-day, click-and-collect, ship-from-store and reserve-in-store orchestrated from a single engine.
OMS, SAP and E-commerce Integration
End-to-end flow: order enters from OMS, gets assigned to carrier, tracked and status returns to SAP automatically.
Advanced Operational Dashboards
Cost per delivery, SLA by zone, first-delivery rate, performance per carrier, demand heatmaps.
Dynamic and Precise ETAs
Time estimation based on ML considering historical traffic, weather, day of week and carrier behavior.
Mobile App for Carriers
Native app with navigation, digital POD capture (photo + signature), barcode scanning and real-time communication.
Automated Dispatch
Automatic order assignment to vehicles and carriers based on rules, proximity, capacity and current load.
Automated Incident Management
Automatic flows for delays, failed attempts, damages and exceptions with escalation and proactive notification.
ARIA: AI that optimizes your delivery logistics
ARIA agents integrated into the TMS that learn from every route, every delivery and every incident to make your logistics more efficient every week. Prediction, optimization and automation powered by ML.
Delivery time prediction
ML models that predict delivery times with minute-level accuracy considering traffic, weather, history and zone. ETAs that customers trust.
Continuous route optimization
Algorithms that learn from every completed route to improve efficiency. Real-time re-optimization when changes or incidents occur.
Zone-level demand prediction
ARIA predicts delivery volumes by zone and schedule, enabling vehicle pre-positioning and fleet capacity optimization.
Methodology
Progressive implementation in 6 phases
Visible results from the first phase. Each iteration adds capabilities without disrupting logistics operations.
Logistics Diagnostics
We map current operations: volumes by zone, cost per shipment, redelivery rates, transport providers, pain points and baseline KPIs.
TMS Design
We define architecture: routing engine, OMS/SAP integrations, data model, assignment rules, carrier app and target KPIs.
Routing and Tracking MVP
Phase 1: route optimization and real-time tracking. Visible value in 8-10 weeks with immediate transportation cost reduction.
Fleet Management and POD
Mobile app for carriers, digital proof of delivery capture, own and third-party fleet management with comparative KPIs.
Advanced Orchestration
Same-day delivery, automated dispatch, real-time re-optimization and automated incident management with escalation.
ML Optimization
ML model activation for time prediction, zone demand and continuous optimization based on real operational data.
Tech stack
Technologies powering the TMS
| Category | Technologies |
|---|---|
| Maps and Routing | Azure MapsGoogle Maps PlatformHEREOSRM |
| ERP | SAP TMSAP MM/SDSAP CPI |
| Messaging | Apache KafkaWebSocketFirebase Cloud Messaging |
| Database | PostgreSQLRedisTimescaleDBMongoDB |
| Mobile | React NativeGPS/IoTBarcode Scanner |
| Cloud | AzureKubernetesDockerTerraform |
Case studies
TMS operating in Mexican companies
Soriana - E-commerce Last Mile
TMS for Soriana e-commerce last-mile operations. Optimization of 800+ daily routes, real-time customer tracking and 30% reduction in logistics costs.
Construrama - Material Distribution
TMS for construction material distribution to 1,500+ hardware stores. Load optimization, multi-stop routes and tracking for corporate customers.
Grupo Lala - Cold Chain
TMS with cold chain control for dairy distribution. IoT temperature monitoring, time-restricted optimized routes and automatic alerts.
Comparison
iTechDev TMS vs Traditional logistics
| Aspect | iTechDev | Traditional |
|---|---|---|
| Route optimization | VRPTW with ML, real-time re-optimization | Manual or basic sequential routes |
| Tracking | Real-time with dynamic ETA and notifications | No tracking or tracking with hours of delay |
| Proof of delivery | Digital with photo, signature, GPS and timestamp | Paper or no proof of delivery |
| SAP/OMS integration | Bidirectional real-time, end-to-end | Manual interfaces or daily batch |
| Own + third-party fleet | Unified management with comparative KPIs | Separate systems without comparison |
| ARIA / AI | Time prediction, demand and continuous optimization | No artificial intelligence capabilities |
| Delivery scenarios | Same-day, next-day, scheduled, click-and-collect | Standard delivery only 3-5 days |
Deliverables
What you receive in every implementation
Industries
TMS for your type of logistics operation
Frequently asked questions
We answer your TMS questions
Does it integrate with our SAP?
Yes. We integrate with SAP MM, SD and TM. Orders automatically flow from OMS to TMS and back to SAP with delivery status, actual costs and digital proof of delivery.
Does it work with own fleets and third parties?
Yes. The TMS manages own fleet with GPS and third parties via API or portal. You can compare costs and performance between both from a single dashboard and make data-based assignment decisions.
How long does implementation take?
MVP with route optimization and tracking: 8-10 weeks. Full implementation with mobile app, advanced orchestration and ML: 4-6 months. Depends on number of integrations and operational complexity.
Can the end customer track their order?
Yes. We include white-label tracking page with real-time dynamic ETA, notifications via WhatsApp/SMS/email and digital proof of delivery with photo and receiver signature.
What optimization algorithms do you use?
We combine VRPTW (Vehicle Routing Problem with Time Windows), geographic clustering and machine learning for time prediction. Algorithms continuously adjust with real operational data to improve every week.
Do you support same-day delivery?
Yes. The engine supports wave dispatch with configurable cutoffs, real-time re-optimization when new orders arrive and automatic assignment to the nearest vehicle with available capacity.
Optimize your last-mile logistics
Free logistics assessment. We show you how much you can save with route optimization and how much your customer experience improves.