Achieved 94% Real-Time Shipment Visibility in a Logistics Firm With AI-Powered Operations Automation Platform
About Client
The client is a mid-sized logistics management company with headquarters in the USA. The company specializes in warehouse operations, last-mile delivery, and cross-regional freight coordination. The growing customer base with increasing pressure of delivery windows brought challenges in efficient management of route planning, dispatch scheduling, and shipment tracking. The scaling of the business made it impossible to ensure errorless operations through manual practices.
Key Challenges
The traditional workflow of the company included fragmented and manual processes to manage end-to-end logistics. The approach often caused inefficiencies and a lack of scalability in the long term.
- Scheduling Inefficiencies with Manual Dispatch- The operations pipeline consists of tasks like driver assignment, vehicle management, and route navigation, which are performed manually using spreadsheets and phone coordination, consuming over 6-8 hours each day.
- Rising Fuel Costs- Poor route optimization and inefficient planning often increased the fuel cost by 20-30% compared to what was forecasted during the budgeting.
- No Shipment Visibility- A centralized system was absent that could track the shipments in real time. Stakeholders like customers, warehouse staff, and account managers relied solely on manual check-ins and email updates.
- Disconnected Warehouses- The legacy systems like warehouse management software, carrier APIs, and order management systems worked in silors with disturbed data exchange. Staff needed to spend hours reconciling shipment records.
Our Solutions
The NineHertz conducted a profound analysis of the real-time business challenges and root problems needing rectification. Our team built an AI-powered operations automation platform, mitigating the identified challenges and increasing overall productivity.
Intelligent Dispatch Automation Engine
Our team deployed an AI-powered dispatch engine that automatically assigns vehicles, drivers, and loads according to the particular load capacity.
Route Optimization Engine
The final solution consisted of a route optimization engine that suggests the most fuel-efficient and low-traffic routes while analyzing the road conditions.
Centralized Tracking Dashboard
We developed a unified tracking layer with IoT-enabled GPS telemetry, microservices architecture, and API integration. The dashboard offers live shipment status to stakeholders.
Automated Data Reconciliation
The platform is built on RESTful APIs and EDI protocols that help to automate seamless data exchange between the warehouse management system, order management tools, and carrier networks.
Impact That Drives Results
The AI-powered operations automation platform led to a significant return on investment within a year of deployment. The numbers well portray the impact of the automated platform on the logistics partner.
94%
Real-Time Shipment Visibility
The GPS-enabled tracking dashboard replaces the manual check-in calls. The system delivered a live status of shipment to all the stakeholders, driving 94% more shipment visibility.
27%
Decreased Fuel Cost
With smart routing, traffic avoidance, and reducing idling, the logistics company reported a 27% decrease in fuel and overtime costs.
78%
Reduced Dispatch Time
The manual dispatching used to take 6-8 hours per day, which was reduced to 90 minutes, enabling staff to focus more on strategic oversight.
12-Day
Advance Demand Forecasting
Predictive analytics engine offered 12 days of forward visibility to operations managers regarding demand surges or shortfalls, eliminating the chances of last-minute bottlenecks.
