Retail Analytics

Ensure Profitability With Customer Insights, Inventory Management and More.

Transform Every Transaction into a Strategic Advantage.

In the fast-paced world of retail, every click and purchase generate invaluable data about your customers. At Pomerol, our data and analytics services help you harness insights from POS systems, e-commerce transactions, supply chains, and social media, consolidating this information into a single, actionable view. This unified approach enables you to meet consumer demands, uncover market opportunities, and remain agile in a rapidly evolving landscape. Our analytics solutions empower retailers to understand customer behavior, optimize inventory, and enhance operational efficiency.

Imagine analyzing product data by category, supplier, and location. This insight ensures you maintain the right product mix in the right stores while optimizing inventory levels to meet demand. Understanding product availability can enhance the shopping experience and serve your customers better.

Customer behavior analysis is a powerful tool that reveals purchasing habits across channels and regions. With this knowledge, you can adjust your product mix, tailor your marketing efforts, and optimize pricing strategies according to market trends, ensuring your offerings resonate with your customers.

Our solutions also revolutionize forecasting and supply chain management. Leveraging traditional and advanced analytics can enhance purchasing, forecasting, and distribution processes. Aligning orders, production, and delivery with consumer demand helps minimize excess inventory costs while ensuring timely product availability.

Store operations optimization is achieved through detailed performance analysis. By evaluating trends in sales, customer traffic, and transactions, you can pinpoint high-performing locations and identify areas needing improvement, enabling informed decisions that enhance overall store performance.

You can strategically optimize retail locations by augmenting consumer data with geospatial insights. Understanding the economic value of each physical site and utilizing techniques like indoor mapping allows you to enhance the in-store experience based on shopper behavior, ensuring your stores are positioned for maximum engagement and sales.

Promotional optimization is made possible by analyzing the effectiveness of your offers and their impact on sales and inventory. This data supported; approach allows you to refine promotional strategies to boost sales while ensuring inventory aligns with consumer demand.

Key Features of Our Retail Analytics Solutions

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Retail Analytics

Ensure Profitability With Customer Insights, Inventory Management and More.

Retail analytics links POS, inventory, and marketing data to enable accurate demand forecasting, markdown optimization, and cross-channel visibility.
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Qlik Cloud Analytics Accelerator for NetSuite
Unleash the power of your NetSuite data with Pomerol’s pre-built accelerator.
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Data Engineering
Build robust, scalable data pipelines that integrate complex data from multiple sources.
Data Analytics
Put actionable information into the hands of those who need it most. Lead with data.
Data Science
Artificial Intelligence (AI) for results. From Machine Learning to Generative AI to Agentic AI.
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Create internal and external data assets for employees, customers, vendors and your other partners.
Client Success and Managed Services
Our team ensures that your data initiatives deliver results from implementation to ongoing support.
Analytics TO WIN® - Data Strategy in 4 Steps
Quickly build a comprehensive analytics strategy with our streamlined Analytics TO WIN® methodology.
DataOps 360
Put value first with our end-to-end approach to delivering your AI, data and analytics projects.
CIO Advisory Services
Our CIO Advisory Services provide the strategic guidance you need to lead confidently.
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Learn how Pomerol Partners assisted Essense of Australia in significantly reducing their Azure Cloud expenses. By leveraging reserved instances, implementing hybrid licensing for Windows and SQL, and optimizing server usage, we achieved substantial cost savings and improved operational efficiency.
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