AI-Driven Prescriptive Analytics for Production and Supply Chain Performance

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Company Profile

Global leader of perishable food production company in USA specialized in producing fresh and untainted consumables for both the domestic and international markets. With a variety of products, state-of-the-art facilities, and a commitment to sustainability and ethical practices, the company has earned a reputation for excellence and quality.

Problem Statement

As a leading perishable food company, the client has a complex supply chain network with multiple suppliers, distributors, and retailers, making it challenging to manage production planning and scheduling effectively. The production planning was done based on the demand forecast, which was primarily based on historical sales data. The major challenge in dealing with perishable products is volatility in demand leading to overproduction or underproduction. Therefore, the revenue and profitability of the company was not predictable.

Featured services

Automated Application Process

Ensures higher productivity and efficiency with a significant reduction in spent time.

Data Integration and Consolidation

The process of consolidation which earlier used to take a weeks’ time can now be executed within hours.

Consolidated Reporting

Significant improvement in workforce productivity and business performance on account of automation of data consolidation and analytics.

Improved performance

Significant improvement in workforce productivity and business performance on account of automation of data consolidation and analytics.

Solution

Kanerika Inc’s team developed an AI-driven prescriptive analytics solution to address the production planning and scheduling challenges. The solution leveraged machine learning algorithms to analyze the historical sales data and forecast the demand for each product across SKUs. Weather patterns, seasonal changes, region-based preferences, external supply chain prices and market trends were considered as part of the plant-based demand forecasting. The AI driven forecasting engine then integrated with customer’s ERP system to ensure real-time data synchronization and provide a seamless user experience along with 94.72% accuracy.

The AI data models were used to optimize the production planning and scheduling process, minimizing overproduction and waste of resources, and determining the optimal production plan that maximized revenue while minimizing waste. The algorithm considered capacity constraints, resource availability, and lead times to ensure the production plan was feasible and executable.

Business Impact

Reduced Overproduction: The AI-driven solution helped the client reduce overproduction by 37.35%, resulting in significant cost savings and improved profitability.
Minimized Waste: The solution reduced waste by 23.82%, optimizing resource utilization and reducing the negative impact on the environment.
Improved Production Efficiency: The solution enabled the customer to optimize their production planning and scheduling process, resulting in improved production efficiency and increased output by 13.6%.
Enhanced Operational Efficiency: The real-time data synchronization and analysis provided by the solution improved the customer’s operational efficiency and enabled them to make informed decisions.
Increased Competitive Advantage: Improved operational efficiency and reduced waste gave a competitive edge for the client to make swift informed decisions and improve results.
Improved Customer Satisfaction: The AI-driven solution ensured the timely and accurate delivery of fresh and high-quality products, resulting in improved customer satisfaction and loyalty.
Scalability: The solution is scalable and can accommodate the growing needs of the client’s business, ensuring long-term sustainability and growth.
Future Readiness: The solution leverages advanced AI and machine learning technologies, positioning the customer to be future-ready and able to address complex business challenges.

Why Kanerika?

Kanerika is a leading global IT consulting company offering innovative solutions & services for businesses. Kanerika focuses on Data Integration, Analytics, Process Automation and Cloud Management as core focus areas apart from AI Led Product Development. ISO 27701 certified and SOC II compliant Kanerika processes ensure the quality, predictability, and compliance. Kanerika’s technology and process expert teams have been helping its global clients with development and automation using agile methodologies.