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/ Case Study · Logistics

A.Net Logistics ERP for a Cargo Group. Real-Time Tracking Across 600 Trucks.

/ The engagement

A.Net Logistics ERP with SSRS Dashboards for Cargo Management.

V Trans, a logistics provider with 58 years of standing and a fleet of more than 600 GPS-enabled vehicles, relied on manual paper records that slowed cargo management. Brainvire tailored a.Net logistics ERP with SSRS dashboards that adds real-time order tracking, accurate digital records, inventory visibility, and precise sales forecasting across the group.

.Net ERPSSRS DashboardsGPS TrackingSAS Visual Analytics
58 yrsIn logistics
600+GPS-enabled vehicles
Real-timeOrder tracking
SSRSReporting

/ About the client

V Trans

V Trans is a leading logistics service provider with a reputation spanning more than 58 years. Armed with a fleet of over 600 GPS-enabled vehicles, it moves cargo seamlessly across India. From small loads to full truck shipments, it offers door-to-door service, storage, and more, aiming to be the top choice in cargo management and logistics.

Brainvire crafted and implemented varied strategies to reach the client's objectives, focused on elevating operations and the user experience. The.Net logistics ERP, paired with SSRS dashboards, streamlined cargo management, replaced error-prone paper records, and brought real-time visibility to orders, inventory, and sales forecasts.

/ The approach

Design, architecture, and features, shipped as one program.

/01Tracking

Live on the road

Dispatched orders had no real-time status, so the team built live order tracking backed by the fleet's GPS data so staff can follow every shipment from pickup to delivery.

/02Records

Off the paper

Data on paper was prone to errors and delays, so the team moved records into the ERP with proper organization and storage for accuracy.

/03Inventory

Always visible

The client struggled to track inventory, so the ERP added clear inventory visibility across the network.

/04Forecasting

Precise on sales

Sales had to be forecast carefully, so the team used SAS Visual Analytics and SSRS to model trends and calculate sales precisely.

/ What stood in the way

Four problems, solved without a maintenance window.

Select a challenge to see how it shaped the build.

/01 Real-time tracking
/02 Data accuracy
/03 Tracking inventory
/04 Complex sale calculation

Real-time tracking

Once orders were dispatched, there was no way to track their real-time status. The team built live order tracking backed by the fleet's GPS data, so staff resolve issues fast and keep deliveries on time.

Data accuracy

Data on paper was prone to inaccuracy and delay and needed proper organization and storage. The team moved records into the ERP, which removed manual entry and kept information accurate.

Tracking inventory

The client had been experiencing difficulty tracking its inventory. The ERP added clear inventory visibility so stock and cargo positions stay current across the network.

Complex sale calculation

The client wanted to forecast sales carefully and precisely. The team used SAS Visual Analytics and SSRS dashboards to surface patterns and calculate sales trends across time, locations, and products.

/ Product screens

The delivered experience.

The interface people actually use.

V Trans delivered interface, screen 1/01ERP Dashboard
V Trans delivered interface, screen 2/02GPS Tracking
V Trans delivered interface, screen 3/03SSRS Analytics
V Trans delivered interface, screen 4/04Shipment Management

/ The results

What changed, in numbers.

Fewer Redundancies Automation streamlined processes and lifted efficiency by removing manual work and redundancies.
Clear Opportunities Users detected patterns and made informed decisions with SAS Visual Analytics.
Improved Efficiency Real-time tracking boosted efficiency, enabling swift issue resolution and timely deliveries.
Accurate Sale calculation Dashboards displayed sales trends for comparison across time, locations, and products.

/ Next step

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