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Designed to improve retail experience

Enhance your retail operations and provide a seamless shopping experience for your customers with SCIKIQ's Intelligent Data Management platform. Increase transparency through comprehensive SKU and order management, Deliver Omnichannel experience, Optimise supply chains, reduce fraud to bare minimum.

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Retails

Top challenges faced by the retail industry

As technology continues to evolve, consumer behavior does too — and retailers need to stay ahead of the curve. And using data is one way to make sure you stay ahead of trends and give customers products that solve their problems.

Multichannel Buying Experiences

Consumers expect a seamless experience across all channels, requiring retailers to have a strong online presence and a user-friendly e-commerce platform.

Competition

Retailers must compete with other players in a crowded market, both online and offline.

Changing Consumer Preferences

Retailers must constantly adapt to changing consumer preferences and trends

Supply Chain Management:

Retail businesses rely on complex, global supply chains to source and distribute products.

Data Management

Retail businesses generate and process huge amounts of data from various sources, requiring advanced data management and analysis tools and skills to make sense of it.

Retail Solutions for Improved Operations

The pandemic has caused a shift in consumer behavior, including an increase in e-commerce and a focus on health and sustainability. Retailers must adapt to these changes and reinvent the shopping experience. Brands must also assure strong availability, a resilient supply chain, and a uniform offline and online experience. Data management is key for retailers to stay competitive in this changing landscape. To become a future-ready organization, retailers must harness the power of data.

SCIKIQ specializes in providing data management solutions for the retail industry, helping businesses to make informed, data-driven decisions that drive growth, efficiency across departments. 

CUSTOMER
  • 360 degree
  • Profitability
  • Cohort Analysis
  • Demand Planning
SALES ANALYTICS
  • Order Lifecycle
  • SKU Lifecycle
  • Payment Analytics
  • Return/Cancellation Tracker
INVENTORY/ WAREHOUSE
  • Optimization
  • Assortment Planning
  • Seller Analytics
PRODUCT
  • Profitability
  • Promotion Effectiveness
  • Market Basket Analysis

Use Cases

Data Analytics Applications in Retail

"Retail businesses today generate and process huge amounts of data from various sources, including point-of-sale systems, customer interactions, and supply chain operations. Managing and making sense of this data can be a daunting task, but it is essential for driving business growth and staying competitive. That's where SCIKIQ's Intelligent Data Management for Retail comes in.

  • Customer Analytics

    Retailers can use data management tools to analyze customer data and gain insights into customer behavior, preferences, and loyalty. This can help retailers tailor their marketing efforts, improve the customer experience, and increase sales.

  • Inventory Management

    Data management can help retailers track and manage their inventory more efficiently, reducing waste and ensuring that products are available when customers want them.

  • Supply Chain Management

    Retailers can use data management to optimize their supply chain operations, including sourcing, production, and distribution. This can help reduce costs, improve efficiency, and increase customer satisfaction.

  • Sales Analytics

    Retailers can use data management to analyze sales data and identify trends and patterns, helping them make more informed, data-driven decisions about pricing, marketing, and product development.

  • Operational Intelligence

    Retailers can use data analytics to monitor and optimize key performance indicators, such as sales, customer satisfaction, and efficiency. This can help retailers make more informed, data-driven decisions about their operations.

Data Analytics Applications in Retail