Logistics systems that move cargo and data at the same speed.

Logistics systems at Empyreal Infotech move cargo and data at the same speed, integrating GPS tracking, inventory reconciliation, and driver communication without delays.

Real-time visibility from origin to destination. Built for complexity, scale, and the margin per unit.

Real-time tracking across all modes.

GPS tracking, IoT sensors, carrier integrations, and exception alerts. From warehouse to customer. Every touchpoint visible.

Multi-modal tracking

Truck, rail, ocean, air. Unified data stream. ETA accuracy.

Exception management

Delay alerts. Route deviations. Damage detection.

Customer visibility

Proof of delivery. Photo capture. Signature recording.

Networks that route smarter.

Route optimization that balances cost, speed, and risk. Capacity planning that doesn't waste. Pricing that moves volume.

ROUTE

Route optimization

Cost vs speed. Carrier selection. Load consolidation.

PLAN

Capacity planning

Demand forecasting. Network design. Warehouse placement.

RATE

Dynamic pricing

Demand-based rates. Surge pricing. Spot market integrations.

How we build logistics systems.

01

Network mapping

Understand lanes, carriers, and cost structure. Model capacity and constraints.

02

Integration core

Connect to carriers, shipper systems, and IoT networks. Unified data layer.

03

Visibility engine

Real-time tracking and exception handling. Customer-facing tools.

04

Optimization & analytics

Route optimization. Cost reduction. Performance dashboards.

Logistics complexity compounds with volume.

Hundreds of shipments per day is manageable with spreadsheets. Thousands per hour demands real-time systems. Exceptions multiply. Manual tracking breaks. Margins erode if optimization lags. The architecture you build at small scale doesn't survive growth.

Networks tracking millions of shipments.

22+
Logistics platforms built
180M+
Shipments tracked annually
12%
Average cost reduction

Let's optimize your network.

Share your current challenges: visibility gaps, routing inefficiency, margin pressure. We'll map the path to a real-time, optimized logistics system.

Frequently asked questions about our logistics development

Direct answers about how this engagement actually works. If your question is not here, ask Mohit directly.

Real-time visibility means tracking thousands of shipments per hour. What's your approach to not letting that cost crush your margins?
Route optimization happens offline (batch) with incremental updates for exceptions. Cost per mile gets modeled before shipments go out. Capacity planning uses historical demand to prevent empty miles. One logistics platform we built reduced cost per mile by 8% in the first six months through better routing and consolidation visibility.
We work with 50+ carriers, and their APIs are inconsistent. How do you prevent that complexity from paralyzing the platform?
Carrier abstraction layer. You define your data model once. The integration layer maps each carrier's API to your model. When a new carrier joins, you add one integration, not refactor your system. We've integrated 7 platforms with 40+ carrier APIs each.
What's a realistic budget and timeline for a logistics platform that handles hundreds of daily shipments at scale?
Core logistics platform with route optimization and carrier integration: 16-20 weeks, $70K-120K. Add real-time tracking and exception management: +8-12 weeks, +$35K-60K. The complexity comes from operational rules (SLA enforcement, cost vs. speed tradeoffs) not technology.
Do you understand logistics operations, or is this mostly API integration work for you?
We've shipped 4 logistics platforms handling 500K+ monthly shipments. One reduced logistics cost by $12K monthly through better load consolidation. We understand cost structure modeling, lane economics, and the operational rules that separate good platforms from broken ones.
How do we validate that the architecture will scale when we go from 100 shipments daily to 1,000 without major refactoring?
Load testing at 5-10x peak volume with realistic carrier API delays simulated. Database query profiling under scale. The logistics audit includes stress testing your route optimization and exception handling at scale.
During development, who's our primary contact? Will operations and engineering teams stay in sync?
Two-week sprints with weekly syncs to your operations and engineering leads. Mohit owns architecture decisions. We work in your codebase. Code and IP transfer at completion. NDA available.

Have a different question? Email the team or read the full FAQ.