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Increase sales in your retail store with data analytics

Attract customers, increase the average order value and drives sales in your retail store with the help of a top data analytics service.
Online and offline retail have long identified the essence and impact of data science for their business. We support you in the development and operational implementation of your data science use cases and projects.
The retail industry is facing a digital revolution. What was apparently a topic of online retail until a few years ago is now making its way into brick-and-mortar retail. Data science, big data and machine learning are revolutionizing the way business-relevant decisions are made in retail.
Most retail companies are often in the comfortable position of already having massive amounts of data at their disposal: Sales, pricing and disposition data form the basis for many exciting use cases in the field of data science and machine learning.
Our team of data scientists supports you as a retail company with the challenges of digital trade. Together with you, we develop comprehensible systems for you to forecast, optimize and control demand, quantities and prices. Take advantage of our experience in the retail industry and arrange a consultation to clarify your options and needs.

Application of data science in retail

• Dynamic Pricing: Adjust prices to the characteristics and demand behavior of individual customers or groups.
• Sales Forecasting: We develop models to predict the amount sold for your products and product groups.
• Disposition optimization: Modeling of order behavior at store level to avoid out-of-stock situations. 
• Customized prices: Determination of customer-specific price elasticities and demand functions using choice sets.
• Up- und Cross-Selling: Analysis of historical shopping carts to generate product recommendations and purchase advice.
• Price elasticities: Statistical modeling of price-sales functions on store for optimal pricing.

Data analysis in Retail

Many retailers already recognize the impact that big data has on customer service, supply chain optimization, and business strategies. Big data in retail offers stores the opportunity to learn and capitalize on market trends to increase profitability.
Retail data analytics involves collecting big data to improve pricing strategies, supply chain control, and the customer experience. Big data refers to market collections and internal company information that reveal global industry and customer trends. Scientists traditionally define big data by evaluating its volume, speed, and variety. In other words, the data collection must be large, fast to process, and diverse. These characteristics make it more valuable to the company.
Big data in the retail industry helps companies improve their customer service. Retailers can use valuable customer data to improve product development, the shopping journey, and the overall buyer experience. Retail data analytics continues to transform the way stores optimize operations and approach

Why retail businesses should consider data analytics

Price optimization

With big data, stores understand exactly when and how product prices need to change to attract customers and drive sales. By monitoring big data and adjusting prices, companies can determine which strategies benefit both the consumer and the store. This balance is essential, as a higher price could potentially increase profits but decrease customer retention, and vice versa.

Business strategies

Big decisions require big data that provides insight into the retail market and emerging trends. Stores that consistently monitor and aggregate information can improve their decision-making and overall strategy development, both in the short and long term.

Customer experience

Consumer preferences are always changing in response to the economic climate, technological advancements, and market trends. This means that retailers must be able to monitor and tailor their customer service accordingly.

Product recommendation

When retailers collect customer data, they can also personalize advertisements, emails, and promotions to increase sales. By monitoring purchase histories, stores can generate product recommendations to encourage impulse purchases.

Predictive analytics

Establishments that integrate their management systems can forecast sales and customer demand through predictive analytics. This technique aggregates sales and historical data in real-time to define fluctuating trends in consumer demand. Retailers can use this data to mitigate emerging risks, capitalize on passing fads, and optimize inventory management. 

Supply chain management

Supply chain management is challenging, especially for multi-store retailers. Every business in the retail industry faces a certain level of risk, from inventory control to logistics. However, big data allows owners to optimize their supply chain network to mitigate threats and avoid disruptions.

Some of our top data science tools at HData Systems

  • Minitab
  • R
  • Apache Kafka
  • MongoDB
  • Python
  • PowerBI
  • DataRobot
  • Sap Hana 
  • Trifacta
  • Apache Flink 
  • Apache Spark 
  • TensorFlow
  • BigML
  • RapidMiner 
  • Excel 
  • Knime
  • SAS
  • Tableau
  • Apache Hadoop

Our Services

Data Science

Data Science is a structured and unstructured model to extract insight from data in different forms and add value to the businesses.

Data Warehousing

Data warehouse system is a powerful, scalable, and affordable—enabling organizations to share petabytes of data across thousands of users.

Data Analytics

Data Analytics is the process to analyze data sets in order to draw conclusions about the information with specific systems & software.

Data Visualisation

Data visualizations perform the best role in addressing this challenge and help with interacting science outputs to a wide variety of audiences.

Data Migration

Data Migration is the process of transferring data from one storage system to another to save necessary and relevant data.

Big Data Implementation

Big Data implementation helps you to make decisions on the basis of insightful data and forecast business future.

Predictive Analytics

Advance Analytics is a tool that help you to extract more data and forecast trends, behaviours, events, and more to perform better.

IoT Analytics

IoT Analytics is an application of data analysis tools and adds value to the data to facilities by connecting with the Internet of Things.

Customer 360

Customer 360 provides data with a 360 degree view and enables you to interact and support every detail about the customer.


DevOps is a set of practices that merge IT operations and software development to deliver high quality software and improved software life cycle.

Microsoft Power BI

Microsoft Power BI is a business analytics service that provides interactive visualizations & business intelligence to create dashboards & reports .

Qlik Sense & QlikView

Qlik Sense & QlikView is an analytics solution and platform to integrate data, analysis and data-driven intelligence that deliver business growth.


Industries We Are Transforming

The transformation of industries by Big Data Analytics, Artificial Intelligence, and Data Science

banking and finance

Banking and Financials

Power your Data Analytics and prevent fraudulent activity and ensure data security while integrated with third-party



Align insurance with faster decision-making, enhance legacy system, empower customer relations, and integrated third-party services



Transform your business by boosting productivity, refine adaptability with data

transportation logistics

Transportation and Logistics

Get the real-time insight and data, track the precision location, and operate while monitoring with efficiency


Enhance medical facilities, seamless practice process, track and get the insight of the data, reduce expense, and reform quality of care.



With research data, create a market growth strategy, optimize product sales and inventory, and predict the future demand.

media and entertain

Media and Entertainment

Deliver high-quality content with seamless integrated services and accomplish analytics success



Give a new platform and approach to learning, personalized learning experience with remarkable technology



We provide a research database which helps in Mapping metadata, ensuring high quality of data analytics and reports.

travel and hospitality

Travel and Hospitality

Boost your sales service, enhance customer segmentation with analysis and predict future price strategies

oil gas

Oil and Gas

Improve your automate workflows and monitoring process, high analytical and report facilities while ensuring data safety

real estate ecommerce

Real Estate and E-commerce

Leverage deep insight Industry knowledge, powerful refinements, and deliver real-time dynamic experience



Provide new innovative workflows, enhance data-driven network services, help to obtain new customers, and expand market reach strategically.


Food and Beverages

Keep the track on quality, enhance services, bring out more innovation, and boost the product sales.



Discover new energy, cost-effective and prevent power outage, increase the production and sales with data

Tools & Technology

Data Science Tools & Technologies

  • google-ai
  • amazon-mc
  • apache-spark
  • azure-mc
  • hadoop
  • java
  • jupyter
  • kiabana
  • parquet
  • python
  • qlik
  • r-language
  • r-studio
  • scala
  • spark-mlib
  • tableau
  • tensorflow
Case Studies

Introduce Our Projects

Powered By Hyperlink InfoSystem

Hyperlink InfoSystem is one of the leading software development companies based in India and has offices in USA, UK, UAE, France, and Canada. With 10+ years of experience in the industry, Hyperlink InfoSystem served more than 2,300 clients worldwide. The company has a team of 450+ highly skilled developers who works on any custom solutions using the latest technologies.

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