Qlik

Retail analytics is the process of analyzing data from various retail sources to gain valuable insights into customer behavior, preferences and purchasing patterns.

Clients

Overview

Driving informed decision-making and strategic planning

Retail analytics involves the process of collecting, analyzing and interpreting data from retail operations to understand customer behavior, optimize inventory and enhance sales strategies.

Drive business growth
Understanding market dynamics
Enhancing Marketing Strategies
Analyze workforce productivity

24

Years of
experience

Key industry solutions we provide

Sirixo has good experience working for clients from across a range of different industries. Sirixo can provide multiple services, solutions to any company, including creative website development, creative process and internet marketing campaigns.

IT & Digital

Healthcare

Banking

Consultancy

Real-Estate

Education

E-commerce

Entertainment

Sports

Travel

Food

Law & CA

Our Features

Sales Analysis

Analyzing sales data to evaluate product performance, identify trends and optimize sales strategies. This helps in understanding which products are performing well and which ones are underperforming.

Customer Segmentation

Segmenting customers based on demographics, behavior and preferences to deliver personalized experiences and targeted marketing campaigns. segmentation enables targeted marketing strategies.

Pricing Optimization

Through pricing analysis, retailers can determine optimal pricing strategies based on factors like competitor pricing, demand elasticity. This allows for dynamic pricing adjustments to maximize revenue and profitability.

Forecasting and Planning

By leveraging historical data and predictive modeling techniques, retail analytics enables accurate forecasting of future sales, demand and inventory requirements. This supports effective business planning, resource allocation and decision-making.

Store Performance Monitoring

Retail analytics provides insights into the performance of individual stores or store locations. Retailers can track metrics such as foot traffic, conversion rates and average transaction value to assess store productivity and identify areas for improvement.

Fraud Detection and Prevention

Retail analytics can detect suspicious or fraudulent activities, such as payment fraud, returns abuse or employee theft, by analyzing transactional data and identifying anomalies. This process typically includes monitoring transactions, analyzing patterns.

How it Works

Ultimately drive revenue growth and customer satisfaction in an increasingly competitive marketplace

Retail analytics involves collecting and analyzing data from various retail sources to gain insights into customer behavior, sales trends and inventory management. It helps retailers optimize operations and improve customer experiences. Retail data analysis gathers data from point-of-sale systems, online transactions and customer interactions.

WE USE FOCUSED STRATEGY, CREATIVE DESIGN, AND INNOVATIVE TECHNOLOGY

We develop using the latest technologies
available on the market

Predictive Analytics

TensorFlow

PyTorch

Microsoft Azure

Amazon SageMaker

IBM Watson Studio

H2O.ai

Development tools

Apache Kafka

Apache

Confluent Platform

Google Cloud Dataflow

Voice Analytics

Google Cloud Speech-to-Text

IBM Watson Speech to Text

Blockchain Technology

Ethereum

Hyperledger Fabric

R3 Corda

EOSIO

Case Studies

Unlock the Power of Data with Retail Analytics!
Optimize Sales, Enhance Customer Experience and Drive Growth.

Our Pricing

Package

Users

Storage

Features

Support

Deployment

Additional

Basic

Ideal for small businesses 0

500 MB

Basic Visualization

Community

Cloud

Limited sharing

Get Started

Standard

Perfect more functionality

500 GB+

Advanced Analytics

Email Support

Cloud

Collaboration & Sharing

Get Started

Premium

Suited for sell online 299

/yr

Unlimited

Scalable

Advanced Governance,Security&Integration

Full Support

Cloud or On-Premise

Customization & Scalability

Get Started

Frequently Asked Questions

How does Sirixo retail analytics solution work?

Retail analytics solution utilizes advanced data analysis techniques to collect, process, and analyze retail data from various sources. It provides customizable dashboards, reports, and predictive analytics to empower businesses with actionable insights for better decision-making.

What types of data can be analyzed using Sirixo's retail analytics platform?

Sirixo’s platform can analyze a wide range of data, including sales transactions, customer demographics, product performance, inventory levels, and marketing campaigns.

How can retail analytics help improve customer satisfaction and loyalty?

By understanding customer preferences, buying behavior, and feedback, retailers can personalize their offerings, tailor marketing campaigns, and improve the overall shopping experience. This leads to increased customer satisfaction, loyalty, and repeat business.

How does Sirixo ensure data security and compliance with privacy regulations?

Sirixo prioritizes data security and compliance with industry standards and regulations such as GDPR (General Data Protection Regulation). We employ robust encryption, access controls, and data anonymization techniques to safeguard sensitive information and ensure compliance with privacy laws.

What kind of support and training does Sirixo provide for its retail analytics solution?

Sirixo offers comprehensive support and training to help users maximize the value of our retail analytics platform. This includes onboarding assistance, training sessions, ongoing technical support, and access to a knowledge base and resources for self-service learning.