Artificial Intelligence in AgriFood – TARA Interactive

Artificial Intelligence in AgriFood

Context

AgroTech Solutions is a medium-sized company in the agrifood industry, specializing in the production and distribution of agricultural products. In a competitive environment, the company identified the need to optimize its production planning and logistics processes to remain efficient and profitable. Major challenges included resource allocation, network optimization, and workforce planning.

Technologies

Vue.js & Bootstrap, Azure Kubernetes, Couchbase, streaming data from SQL, NoSQL, CSV, JSON, Go, Python, R, C++, Tableau

The Challenge

Faced with these challenges, AgroTech Solutions’ management decided to adopt an advanced AI-based solution to improve processes and reduce operational costs. Thus, the company implemented VirtAssistant, the Agrifood Virtual Assistant, to help identify and solve complex problems.

Implementation of VirtAssistant

  1. Discovering Challenges: VirtAssistant was introduced to the company to interact with various members of the management and operational teams. In the first weeks, VirtAssistant held conversations with executives to identify major challenges in resource allocation and network optimization. Using OpenAI, VirtAssistant offered suggestions based on knowledge of similar companies in the industry.
  2.  Defining Challenges: Once key challenges were identified, VirtAssistant interviewed multiple teams and generated detailed reports that defined specific problems. For example, for network optimization, VirtAssistant identified discrepancies in vehicle usage and inefficient routes, proposing reorganization solutions.
  3.  Capturing and Managing Knowledge: VirtAssistant created a knowledge graph for AgroTech Solutions, storing data about facilities, products, and personnel. This graph was used to analyze processes and identify cost-saving opportunities. Each time VirtAssistant interacted with the team, the knowledge model was refined and expanded, becoming increasingly valuable.
  4.  Implementing Solutions: With VirtAssistant‘s help, AgroTech Solutions was able to implement concrete solutions for the identified problems. For instance, in workforce planning, VirtAssistant helped develop an optimized schedule that reduced overtime and improved overall efficiency. Regarding the distribution network, VirtAssistant proposed new routes and vehicle allocations, reducing transportation costs by 15%

Results

The implementation of VirtAssistant had a significant impact on AgroTech Solutions:

  • Improved Efficiency: The time required for production planning and logistics was reduced by 30%.
  •  Cost Reduction: Operational costs decreased by 20% due to resource optimization and network improvements.
  • Increased Productivity: Teams reported increased productivity due to the clarity and organization brought by VirtAssistant.
  • Continuous Innovation: The knowledge graph became an essential tool for the continuous identification of improvement and innovation opportunities.

Conclusion

The case study of VirtAssistant‘s implementation in AgroTech Solutions demonstrates how an AI-based virtual assistant can transform processes and bring significant benefits to a company in the agrifood industry. By identifying and solving challenges, efficiently managing knowledge, and implementing practical solutions, VirtAssistant has contributed to increased efficiency, cost reduction, and improved productivity. AgroTech Solutions is now better prepared to face future challenges and remain competitive in the market.