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providentia-tech-ai

Handling the Challenge of
Automation with Data Analytics

handling-the-challenge-of-automation-with-data-analytics
improving-inventory-management-and-demand-forecasting

Handling the Challenge of Automation with Data Analytics

Overview

Our client operates in manufacturing industry. The company manufactures and traditional garments and has over 50 channels of distribution.

Challenges

The main hurdle for our client was lack of automation. This results in delays, inefficiencies, and errors. The manual intervention of tasks is a time-consuming and error-prone process for the company.

Another considerable problem faced by our client was poor predictive analytics. The client stated that the manual prediction based on statistics and charts was not so accurate and precise. The risk factor was still inherent in the business during to poor predictive analytics.

Solutions

  • Collaborative Approach: Providentia collaborated closely with the client’s team to thoroughly assess their challenges and vulnerabilities.

  • Tailored Solution: After careful examination, the team recommended a data analytics solution to address the specific pain points identified during the scrutiny.

  • Insightful Analysis: The proposed data analytics solution involves the analysis of raw data to generate accurate and actionable insights for the organization.

  • Risk Mitigation Focus: Recognizing the importance of risk mitigation, the solution aims to provide the client with the tools to operate confidently and avoid potential risks in the future.

  • Analytical Process Automation: The data analytics solution incorporates analytical process automation, streamlining decision-making and eliminating manual errors in the results.

  • Operational Adaptation: Providentia assisted the client’s technical team in adapting to the necessary changes implemented in their operational processes, ensuring a smooth transition.

Impact

Providentia left no stone unturned to resolve their technical issues. Data analytics resulted as their savior in the times of risks and lack of automation.
Improvement in decision-making processes by

57%

Reduction in
risks by

67%

Decline in manual errors by

77%

Increase in the overall efficiency of business by

55%