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Real-time Milk Collection Management System with Predictive Analytics

dac.digital

Food & Beverage

Agriculture

Logistics

Inefficient Milk Collection Tracking and Billing Process

Mlekovita faces significant challenges in the manual milk collection process. These include errors in data entry, delays in billing, difficulty in verifying data accuracy, and a lack of fraud prevention. The current manual system is time-consuming, prone to errors, and lacks real-time visibility into milk collection volumes and quality, leading to potential financial losses and customer dissatisfaction.

About the Client

The largest dairy company in Poland, involved in milk collection, processing, and distribution across multiple manufacturing plants and countries.

Project Goals

Automate the milk collection tracking process.
Eliminate manual data entry and associated errors.
Provide real-time visibility into milk collection volumes, temperature, and location.
Reduce billing cycle time and improve billing accuracy.
Enhance fraud prevention measures.
Improve driver efficiency and reduce administrative overhead.
Enable data-driven decision-making for milk procurement and logistics.

System Functionality

Real-time tracking of milk collection data (quantity, temperature, location).
Automated data capture from transport vehicles.
Secure data transmission to a cloud-based platform.
Integration with the existing Transportation Management System (TMS) and billing system.
Automated generation of purchase orders and invoices.
Alerting system for deviations in milk quality or temperature.
Driver behavior monitoring and reporting.
Data analytics and reporting dashboards for procurement and logistics management.

Technology Preferences

Raspberry Pi/Edge Computing

Python (Flask/Django)

Cloud Platform (AWS, Azure, GCP)

Database (PostgreSQL, MySQL)

Message Queue (RabbitMQ, Kafka)

Real-time data processing (Apache Kafka Streams, Flink)

Mapping & Geolocation Services (Google Maps, Leaflet)

Containerization (Docker)

Orchestration (Kubernetes)

External System Integrations

Existing Transportation Management System (TMS)
Existing Billing System
Potential integration with farm management systems

Non-Functional Requirements

Scalability to handle a large number of devices and transactions.
High availability and reliability.
Data security and privacy (compliance with relevant data protection regulations).
Real-time performance and low latency.
Mobile application support for drivers and administrators.

Expected Business Impact

This project is expected to significantly improve Mlekovita's operational efficiency, reduce costs associated with manual data entry and errors, enhance supply chain visibility, prevent fraud, and improve customer satisfaction. The real-time data and analytics capabilities will enable better decision-making in milk procurement and logistics, leading to improved profitability and competitiveness. The automation will free up personnel to focus on higher-value tasks.