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Industry Engineering

Logistics & Supply Chain

Connected platforms for real-time shipment visibility, automated route planning, and WMS/ERP integration.

FastAPI
InfluxDB
AWS IoT Core
Kafka
React
Node.js
Redis
PostgreSQL PostGIS
FastAPI
InfluxDB
AWS IoT Core
Kafka
React
Node.js
Redis
PostgreSQL PostGIS
FastAPI
InfluxDB
AWS IoT Core
Kafka
React
Node.js
Redis
PostgreSQL PostGIS
FastAPI
InfluxDB
AWS IoT Core
Kafka
React
Node.js
Redis
PostgreSQL PostGIS
Regulatory Standards:
C-TPAT
FSMA
ISO 9001

Sector Mission

Modern logistics require complete visibility, automated operational workflows, and real-time coordination. Cipher Studio develops custom visibility engines, telemetry pipelines, and optimization software.

Operational Friction

01 Fragmented Supply Chain Visibility

Combining tracking feeds from multiple carriers, shipping lines, and warehouses into a single truth source is incredibly challenging.

02 Inefficient Manual Dispatch Operations

Relying on manual spreadsheets to dispatch drivers, plan routes, and track vehicle utilization results in high fuel costs and empty miles.

Bespoke Solutions

01 Unified Telemetry & Tracking Pipelines

We design event-driven tracking architectures that process geographic, status, and telemetry updates from third-party APIs and IoT sensors.

02 Algorithmic Dispatch Orchestration

We develop custom tools that automatically assign orders to routes and vehicles, maximizing load factors and minimizing empty miles.

Standards & Frameworks

Architectural patterns we deploy specifically for compliance and performance within this sector.

Logistics Systems Interoperability

Connecting operational systems to standardized cargo and transport networks.

EDIFACT / ANSI X12 Integration
RESTful Telemetry streaming
GeoJSON mapping formats

Route Optimization Engines

Algorithmic routing calculations factoring in constraints and live traffic.

VRP Algorithms
Graph Theory
Heuristic Optimization

Cold-Chain Telemetry IoT

Continuous monitoring of temperature-sensitive cargo.

LoRaWAN
MQTT
Time-Series Data Modeling

Predictive Fleet Maintenance

Machine learning pipelines predicting vehicle part failures.

Anomaly Detection
OBD-II Data Ingestion
Digital Twin Modeling
Proven Delivery

Real-World Work

View All Case Studies

Real-Time Cold Chain Telemetry Visibility Hub

Engineered a centralized dashboard for tracking temperature-sensitive pharmaceutical shipments, triggering instant alerts.

Technical Specs

ReactFastAPI BackendAWS IoT CoreInfluxDBTwilio SendGrid
Business Outcome

"Reduced cargo spoilage rates during transit by 85%, ensuring strict regulatory compliance."

Inquire about this architecture

Industry FAQ

How do you handle real-time tracking for thousands of concurrent vehicles?
We build highly optimized ingestion pipelines using AWS IoT Core or MQTT brokers connected to Apache Kafka. Instead of overwhelming a relational database, high-frequency telemetry (e.g., a truck pinging GPS coordinates every 5 seconds) is written to a time-series database like InfluxDB. This architecture scales linearly to handle millions of events per minute and allows dispatchers to query historical routes and live positions with sub-100ms latency.
Can you integrate your routing engines with our legacy ERP/WMS systems?
Yes. We frequently integrate with monolithic systems like SAP, Oracle NetSuite, and Manhattan Associates. We build modern REST/GraphQL API wrappers around these legacy SOAP or EDI (EDIFACT/X12) interfaces. In a recent deployment, our middleware automated the syncing of 50,000+ daily inventory SKUs between the WMS and the dispatch routing engine, eliminating the need for 3 hours of manual batch processing per shift.
How do your algorithmic routing engines reduce costs?
Our routing engines utilize heuristic algorithms and constraint logic programming to factor in variables like vehicle capacity, delivery windows, driver shifts, and real-time traffic. By mathematically optimizing the sequence of stops, our clients typically see a 12% to 18% reduction in total fleet mileage, which translates directly to massive savings in fuel consumption and a reduction in fleet wear-and-tear.

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