For food distribution systems, performing a quality check of food is mandatory. Food quality check is one of the critical KPIs to measure. Monitoring risks and compliance management systems help in maintaining food quality and delivery standards.
Quality checks and management are present throughout the food supply chain. Performing a QC in distribution is as important as performing QC in production. There are various risk factors involved in the distribution of food across geographies. Quality check and management help oversee the red flags beforehand and mitigate them. A real-time monitoring system would be the best fit for such requirements. With the advantage of minimal manual intervention, the process can support the management and reporting of food distribution across geographies. Thus, ensuring safety for customers by enhancing control and management.
The client focused on the success of their food monitoring program. As per the program, the client provides free food across geographies. This program focuses on monitoring the food distribution to over 3 million constituents.
To enable monitoring risks and compliance till the last mile of food distribution, there is a need to assess the level of service provided at every possible checkpoint. There is a lot of risk associated with delivering food and relief, making it crucial to track. With various distribution points across geographies, tracking and maintenance become more complex.
A risk analysis and management model was the need of the client. From collecting field data on food distribution to publishing reports as executive dashboards, an end-to-end tracking, analyzing, and reporting solution was required to support the program. Digital transformation aided by live interactive dashboards solved the issue. Infoveave helped support the client’s food distribution monitoring program.
The solution was to digitize the end-to-end food distribution process flow. This included collecting field data to publishing reports as an executive dashboard. This involved various modules and features of Infoveave working together.
Infoveave collected data from various external systems and ingested it into Data Sources. This field data, location data, warehouse management data, along with others, are as follows:
A Risk management model was designed to flag and mitigate potential risk factors. To forecast risks, the required analysis metrics studied were:
Customized reports were generated and sent to concerned stakeholders. The generated risk analysis reports alert the client to take necessary steps in mitigation. Be it relocation of the workforce or rearrangement of resources, this helps the client to be proactive in addressing issues. Digitizing the data collection and management makes real-time monitoring possible. Highlighting any data discrepancies, data approval workflow, and alerting respective stakeholders. Live interactive dashboards give better visibility to the food distribution program.