Analytics in
Retail

Harness the Power of Data to Drive Sales, Customer Engagement, and Operational Efficiency.

Analytics in Manufacturing

Key Benefits of Retail Analytics

Data-Driven Decisions for a Smarter Retail Strategy

Enhanced Customer Personalization

Deliver personalized shopping experiences based on customer data.

Optimized Inventory Management

Ensure the right products are in stock at the right time.

Improved Pricing Strategies

Leverage data to implement dynamic pricing and promotions.

Increased Sales and Revenue

Use predictive models to identify sales opportunities.

Operational Efficiency

Streamline supply chain management and reduce operational costs.

Better Customer Retention and Loyalty

Utilize data insights to understand customer behaviour, anticipate needs, and create targeted retention strategies that build long-term loyalty.

Retail Analytics: Transforming Customer Experience and Driving Business Growth

At Infohensive, we empower retail businesses to stay competitive by leveraging the latest in data analytics. From optimizing inventory and supply chains to enhancing customer experience and personalization, our analytics solutions provide actionable insights that improve decision-making and drive performance.

analytics overview

Analytics Services
in Retail

Customer Behavior and Personalization Analytics

Understanding customer behaviour is essential for driving engagement and increasing sales. Infohensive’s customer analytics help retailers gain a deeper understanding of their customers, leading to more personalized experiences and higher conversion rates.

Sales Performance Analysis

Track sales performance at the store level, identifying which locations are thriving and which may need improvements. Use this data to make informed decisions on staffing, product placement, and store layout.

Foot Traffic Analysis

Use foot traffic data to understand customer flow patterns and optimize store layouts. This helps increase sales by strategically placing products and ensuring high-traffic areas are maximized.

In-Store Experience Optimization

Analyze customer interactions with products, staff, and in-store technology to enhance the overall shopping experience. Improve customer satisfaction and increase the likelihood of repeat visits by addressing pain points.

Inventory and Supply Chain Analytics

Effective inventory management is key to maximizing profitability in retail. Infohensive’s supply chain analytics help retailers optimize stock levels, reduce waste, and improve the overall efficiency of their supply chain.

Inventory Optimization

Use historical sales data and predictive analytics to forecast demand and ensure optimal stock levels. Avoid stockouts and overstock situations by aligning inventory with customer demand patterns.

Supplier Performance Analytics

Track supplier performance based on delivery times, quality, and cost. Use this data to make informed decisions about supplier relationships, ensuring you work with the most reliable and cost-effective vendors.

Demand Forecasting

Predict future demand based on historical sales data, seasonal trends, and market conditions. This allows retailers to plan their inventory and staffing needs more effectively, reducing costs and maximizing sales opportunities.

Pricing and Promotion Analytics

Pricing is one of the most critical factors in retail success. Infohensive’s pricing analytics help retailers determine the optimal pricing strategy to maximize revenue and profitability.

Dynamic Pricing

Implement real-time pricing adjustments based on demand, competitor pricing, and market trends. Our analytics ensure your prices remain competitive while maximizing revenue.

Promotion Effectiveness

Measure the impact of promotions on sales and profitability. Identify which promotions are most effective and refine your marketing strategies to improve future campaign results.

Price Sensitivity Analysis

Understand how changes in price affect customer behaviour and sales performance. Use this data to implement pricing strategies that drive revenue without alienating customers.

Store Performance and Operations Analytics

Whether you operate physical stores, an eCommerce platform, or both, understanding how your stores perform is critical to retail success. Infohensive’s store performance analytics provide insights that help retailers optimize operations and enhance customer experiences.

Sales Performance Analysis

Track sales performance at the store level, identifying which locations are thriving and which may need improvements. Use this data to make informed decisions on staffing, product placement, and store layout.

Foot Traffic Analysis

Use foot traffic data to understand customer flow patterns and optimize store layouts. This helps increase sales by strategically placing products and ensuring high-traffic areas are maximized.

In-Store Experience Optimization

Analyze customer interactions with products, staff, and in-store technology to enhance the overall shopping experience. Improve customer satisfaction and increase the likelihood of repeat visits by addressing pain points.

Marketing and Loyalty Analytics

Building long-term customer loyalty is crucial for retail success. Infohensive’s marketing and loyalty analytics help retailers develop targeted campaigns, maximise ROI, and create loyalty programs that drive repeat business.

Customer Lifetime Value (CLV) Analysis

Predict the future value of customers based on their purchasing history. Use this data to focus marketing efforts on high-value customers and develop strategies to increase CLV.

Loyalty Program Optimization

Analyze the effectiveness of your loyalty programs and identify opportunities for improvement. Our analytics help retailers create loyalty initiatives that resonate with customers and encourage repeat purchases.

Campaign Performance Tracking:

Measure the success of marketing campaigns across channels. Identify which campaigns drive the most conversions and refine future marketing efforts to increase ROI.

Get Started with Infohensive’s Retail Analytics Solutions