E-commerce & Retail
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Case Study 1: Implement D365 Supply Chain
Client: Large Retailer
Challenge:
The retailer needed an integrated supply chain management solution to optimize inventory and reduce costs.
Services Provided:
- Implemented Microsoft Dynamics 365 Supply Chain Management to streamline operations and enhance visibility across the supply chain.
- Customized modules for inventory management, order fulfillment, and supplier management.
Outcome:
- Improved inventory turnover by 30%.
- Reduced supply chain costs by 20% through optimized logistics.
- Enhanced visibility into supply chain performance metrics.
Case Study 2: Migrated Legacy Applications into AWS
Client: E-Commerce Company
Challenge:
The company needed to modernize its IT infrastructure and migrate legacy applications to the cloud.
Services Provided:
- Migrated legacy applications to AWS, utilizing services like Amazon Redshift, AWS Glue, Lambda,
- Snowflake, and Tableau for analytics.
Developed a cloud strategy to ensure a smooth transition and minimize downtime.
Outcome:
- Improved application performance and scalability in the cloud environment.
- Reduced infrastructure costs by 25% through optimized resource usage.
- Enhanced data analytics capabilities with real-time insights.
Case Study 3: Automate Manual Processing Using Power Automate Desktop and Power Automate
Client: Online Retailer
Challenge:
The retailer faced inefficiencies in order processing and customer service due to manual workflows.
Services Provided:
- Implemented Power Automate and Power Automate Desktop to automate order processing and customer inquiries.
- Developed workflows for order confirmation, shipping notifications, and customer feedback collection.
Outcome:
- Reduced order processing time by 50%.
- Improved customer satisfaction scores through timely communication.
- Freed up staff to focus on higher-value tasks.
Case Study 4: Implement Forecasting Platform Using AI & ML Models
Client: Global Retail Brand
Challenge:
The brand needed to improve demand forecasting accuracy to optimize inventory levels.
Services Provided:
- Developed AI and ML models for demand forecasting based on historical sales data, market trends, and seasonality.
- Integrated forecasting insights into the existing inventory management system.
Outcome:
- Improved demand forecasting accuracy by 35%.
- Reduced excess inventory costs and stockouts.
- Enhanced decision-making capabilities for supply chain management.
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