Crop Monitoring Software
Cold Store Software
MJC²'s was commissioned by a multinational food & beverages enterprise to develop an intelligent decision support environment for monitoring, managing and optimizing cold stores and warehouses.
The client's requirement was to effectively manage 100,000s of tonnes of crops held in distributed food stores, for which it is vital that quality control data is regularly assessed and accurately analysed.
We provided a real-time integrated stored crop management software solution, including:
- Automatic data capture from smart devices and sensors.
- Real-time processing of very large datasets to identify and warn about unusual or worrying trends, using artificial intelligence.
- Reporting on trends and patterns by variety, region, supplier, customer, etc.
- Historical analysis and data mining capabilities.
This innovative solution provides answers to questions like 'Which stock should be assigned to this order?', 'Which stores are showing potentially worrying behaviour?' or 'What is the projected availability for the next six months?'
Intuitive Decision Support Solutions
The client had specific and unique business rules and requirements. The solution was required to handle large datasets and highly complex processing rules, while being flexible enough to model the business accurately:
- User-specified variables, including quantitative and qualitative data.
- Span the complete life cycle, from planting through to final processing.
- User-defined algorithms and criteria to processing and optimization rules.
- Manage stocks across regional, national and international geographical zones.
The decision support system is straightforward to use, driven by intuitive graphical interfaces with powerful tools to facilitate data entry and manipulation.
Information and results from analysis are presented in configurable graphs, charts, tables or reports as required. The underlying analysis and optimization tools are powerful enough to complete even highly complex queries and reports within seconds.