14%

Increase in revenue

24%

Reduction in wastage

38%

Increase in cost savings

Technologies Used

300x76-MS Azure
Azure AI
300x76-PowerBI
Power BI
Dynamics
Dynamics 365
PyTorch
PyTorch
Client Profile

The client is a frontrunner in the USA's perishable food production domain. They specialize in producing fresh and unadulterated consumables for domestic and international markets. The client has earned a well-established reputation for excellence with a diverse range of products, state-of-the-art facilities, and a solid commitment to sustainability and ethical practices

Business Context

As a leading perishable food company, the client had a complex supply chain network, which made production planning and scheduling challenging. Furthermore, the company's production strategy relied heavily on demand forecasting, primarily derived from historical sales data. The inherent volatility in demand for perishable goods had introduced a significant challenge, often resulting in over/underproduction. Consequently, the company's revenue and profitability became unpredictable

Challenges

Challenges

Inaccurate production from lack of AI implementation and sole reliance on historical data for demand forecasting, resulting in customer dissatisfaction​


Production planning and scheduling challenges across vendors led to delays, quality issues, and revenue loss​​


Lack of real-time data synchronization impacted customer satisfaction, competitive advantage, and performance​


Solution

Leveraged AI implementation and ML algorithms, factored with weather and seasonal changes, to improve demand accuracy and enhance decision-making​


Utilized AI in production planning to reduce wastages, and maximize revenues​ ​


Integrated an AI based demand forecasting engine with the client’s ERP system, enabling seamless real-time decision-making​

Solutions

Challenges

Inaccurate production from lack of AI implementation and sole reliance on historical data for demand forecasting, resulting in customer dissatisfaction ​​


Production planning and scheduling challenges across vendors led to delays, quality issues, and revenue loss​​


Lack of real-time data synchronization impacted customer satisfaction, competitive advantage, and performance


Solution

Leveraged AI implementation and ML algorithms, factored with weather and seasonal changes, to improve demand accuracy and enhance decision-making​


Utilized AI in production planning to reduce wastages, and maximize revenues​ ​


Integrated an AI based demand forecasting engine with the client’s ERP system, enabling seamless real-time decision-making​

Business Impact

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Optimized Resource Utilization

Reduced overproduction through AI implementation, resulting in substantial cost savings and profitability

Resource Efficiency

Achieved impressive waste reduction numbers by implementing data analytics in the supply chain, which fine-tuned resource utilization

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Improved Production Efficiency

Increased output with optimized production planning by implementing AI production scheduling, and recorded efficient production

Improved Customer Satisfaction

Ensured timely and accurate delivery of fresh and high-quality products, leading to heightened customer satisfaction and loyalty through the Al-driven supply chain management

Why Kanerika?

Kanerika is a premier provider of data-driven software solutions and services that facilitate digital transformation. Specializing in Data Integration, Analytics, AI/ML, and Cloud Management, Kanerika prides itself on its expertise in employing cutting-edge technologies and agile methodologies to ensure exceptional outcomes. With a proven track record across various industries, Kanerika maintains rigorous quality standards, backed by ISO 27701 certification, SOC II, and GDPR compliance. As a distinguished partner of Microsoft, AWS, and Informatica, Kanerika’s commitment to innovation and strong partnerships positions it at the forefront of empowering businesses for their growth.

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