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SPS Commerce Leverages MicroStrategy for Enhanced Retail Analytics
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
- Functional Applications - Inventory Management Systems
Applicable Industries
- Retail
- E-Commerce
Applicable Functions
- Sales & Marketing
- Warehouse & Inventory Management
Use Cases
- Inventory Management
Services
- Data Science Services
- System Integration
The Challenge
SPS Commerce faced the challenge of efficiently onboarding new clients and providing them with access to new capabilities and data streams. Additionally, they needed to enable their customers to create and share content securely. The company also aimed to help suppliers analyze demand data across a network of retailers to deliver accurate forecasts and react quickly to market changes. Another challenge was to streamline the planning process between retailers and suppliers to avoid inventory overages or stock outs.
About The Customer
SPS Commerce is a leading provider of cloud-based supply chain management solutions, specializing in retail analytics. The company serves a wide range of clients, including wholesalers, online retailers, and direct-to-consumer organizations. SPS Commerce is known for its robust analytics applications that help suppliers and retailers optimize their inventory levels, improve sales forecasts, and enhance overall supply chain efficiency. With a strong reputation in the retail industry, SPS Commerce leverages advanced technologies to provide actionable insights and streamline operations for its clients.
The Solution
SPS Commerce selected MicroStrategy for its strong reputation in the retail industry and its robust automation capabilities. The company uses MicroStrategy to quickly onboard new clients and provide access to new capabilities and data streams. They have also made extensive use of Visual Insight to deploy their own content and enable their customers to create and share content securely. SPS Commerce's Performance Analytics application allows suppliers to analyze demand data across a network of retailers, including wholesale, online, and direct-to-consumer organizations. This helps in delivering accurate forecasts and reacting quickly to market changes. The Collaboration Analytics application streamlines the planning process between retailers and suppliers by providing a singular view of sales and inventory data, helping to avoid inventory overages or stock outs.
Operational Impact
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