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Instore analytics
Bollwiller, France
A
1-10 Employees
-
Key takeaway
The company offers instore analytics that delivers valuable data on customer interactions with products, enabling retailers to make informed, data-driven decisions to enhance sales performance. With customized reports and dashboards, retailers can gain insights into their audience and measure in-store performance effectively.
Reference
Core business
Instore Analytics: Measure your performance in-store
Find out who and how your customers interact with your products in-store with effective reports and dashboards
CountBOX
-
11-50 Employees
2012
Key takeaway
CountBOX provides cloud-based retail analytics solutions that empower retailers to make data-driven decisions by offering precise and near real-time insights into footfall, conversion rates, and consumer demographics. Their advanced features, including people counters and integration with point of sales data, help retailers optimize sales and enhance their understanding of customer behavior.
Reference
Core business
Retail Traffic Counters and Shopper Marketing Analytics
Retail Traffic Counters and Shopper Marketing Analytics. Count your store's customer traffic to make data-driven decisions and to optimize your sales.
Extenda Retail
Stockholm, Sweden
A
251-500 Employees
1982
Key takeaway
Extenda Retail offers a cloud-native business intelligence tool called Retail Analytics, which provides interactive reporting, in-store analytics, and KPI measurement specifically tailored for retailers. This solution empowers businesses to optimize their operations and enhance customer experience through data-driven insights.
Reference
Product
Retail Analytics, a cloud-native business intelligence tool - Extenda Retail
Retail Analytics is a cloud-native business intelligence tool. It enables interactive reporting, in-store analytics and KPI measurement.
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1010data
New York, United States
B
101-250 Employees
2000
Key takeaway
The company, 1010Data, offers a Retail Analytics Suite that provides timely and accurate data, enabling businesses to identify shifting shopper needs and market trends in real-time. Their dynamic analytics help drive growth by turning data into actionable insights, essential for developing targeted strategies.
Reference
Product
Retail Analytics Suite | 1010Data
The retail analytics suite provides a real-time view of your business that leads to highly targeted strategies.
Loyalytics AI
Bengaluru, India
D
11-50 Employees
2015
Key takeaway
Loyalytics specializes in transforming retail data into actionable insights through interactive dashboards and advanced analytics. Their solutions help retailers enhance customer loyalty and align merchandising decisions with customer expectations, ultimately driving increased sales and optimizing marketing investments.
Reference
Core business
Loyalytics Consulting
Snoobi Technology BV - online analytics solutions
Amsterdam, Netherlands
A
1-10 Employees
2008
Key takeaway
Snoobi provides advanced analytics that enhance user engagement and navigation tracking, making it easier to measure the effectiveness of online channels like social media. With its user-friendly reports, Snoobi allows for effective tracking and analysis of customer activities, which is essential for optimizing retail strategies.
Reference
Product
Advanced analytics - Snoobi
Aroodai
Singapore, Singapore
C
1-10 Employees
-
Key takeaway
Aroodai is a specialized Data Analytics Agency that focuses on Retail and Restaurants, leveraging Statistical and Machine Learning models to enhance retail eCommerce performance. Their advanced predictive capabilities enable retailers to forecast daily traffic with high accuracy, optimize stock allocation, and significantly improve revenue by analyzing customer behavior in relation to pricing and marketing strategies.
Reference
Core business
Aroodai - Data Analytics & Forecasting Experts for the Ecommerce, Retail, and Restaurant Industry.
We build A.I. models to predict product sales, pricing & discounting, eCommerce traffic, customer behavior, marketing budgets & merchandise planning.
Thasos
New York, United States
B
51-100 Employees
2011
Key takeaway
The company, RetailStat, specializes in providing expert-driven data, analytics, and insights to help leaders navigate the complexities of the North American retail and retail real estate industries. With over thirty years of experience, RetailStat offers a comprehensive suite of products that enables clients to make informed decisions through reliable retail intelligence.
Reference
Core business
About Us
Prodco Analytics
Montreal, Canada
A
11-50 Employees
1995
Key takeaway
Prodco Analytics specializes in retail analytics, providing a comprehensive platform that enhances understanding of shopper behavior through real-time data. Their solutions empower retailers to identify improvement opportunities, optimize service levels, and benchmark performance against consumer traffic trends.
Reference
Core business
About Prodco Analytics | In-Store Shopper Behavior Analytics
Prodco Analytics is a global leader in in-store shopper behavior analytics and delivers a comprehensive analysis platform for brick-and-mortar retailers
The Big Data Company
Amsterdam, Netherlands
A
1-10 Employees
-
Key takeaway
The Big Data Company specializes in spatial analytics for retail environments, offering the Interactive Retail Intelligence Scout (IRIS) platform that provides crucial insights into footfall traffic, portfolio optimization, and location strategy. Their privacy-first approach and real-time analytics help brick-and-mortar stores enhance their competitive edge against e-commerce.
Reference
Core business
The Big Data Company – Bespoke Retail Intelligence Solutions
Technologies which have been searched by others and may be interesting for you:
Retail analytics refers to the process of collecting and analyzing data to inform retail business decisions. This practice enables retailers to understand customer behavior, optimize inventory management, and enhance sales strategies. By leveraging various data sources, such as sales transactions, customer feedback, and market trends, retailers can gain insights into consumer preferences and purchasing patterns. Utilizing advanced analytical tools and techniques, retail analytics helps businesses identify opportunities for growth and operational efficiencies. This approach is crucial for enhancing customer satisfaction and increasing profitability in a competitive market landscape.
Retail analytics enhances sales performance by providing actionable insights derived from data analysis. By examining sales trends, customer behaviors, and inventory levels, retailers can identify patterns that inform decision-making. This enables businesses to optimize stock levels, tailor marketing strategies, and improve customer experiences. Furthermore, advanced analytics tools leverage machine learning to predict future sales and consumer preferences. As a result, retailers can proactively adjust their offerings, leading to increased customer satisfaction and higher conversion rates. Ultimately, the integration of retail analytics fosters a data-driven approach that significantly boosts sales performance.
1. Data Integration
Retail analytics solutions excel in integrating data from various sources, including point-of-sale systems, e-commerce platforms, and inventory management systems. This comprehensive data collection enables retailers to gain a holistic view of their operations.
2. Real-Time Insights
Many solutions offer real-time analytics, allowing retailers to monitor sales performance and customer behavior as it happens. This immediacy helps businesses make informed decisions quickly, enhancing responsiveness to market changes.
3. Predictive Analytics
Advanced retail analytics tools utilize predictive modeling to forecast future trends. By analyzing historical data, these solutions can identify patterns and provide insights into customer preferences, inventory needs, and potential sales opportunities.
4. Customer Segmentation
Effective retail analytics enables businesses to segment their customer base into distinct groups based on purchasing behavior and demographics. This segmentation helps in tailoring marketing strategies and promotional offers to meet the specific needs of different customer segments.
5. Performance Measurement
Retail analytics solutions provide key performance indicators (KPIs) to track sales, inventory turnover, and customer satisfaction. These metrics are essential for evaluating business performance and guiding strategic planning.
Retail analytics significantly enhances customer experience by providing insights into customer behavior and preferences. By analyzing purchasing patterns, retailers can tailor their offerings to meet the specific needs and desires of their customers. This data-driven approach allows for personalized marketing strategies, such as targeted promotions and product recommendations, which can lead to increased customer satisfaction. Furthermore, retail analytics enables businesses to optimize inventory management. With accurate forecasts based on customer trends, retailers can ensure that popular products are readily available, reducing the likelihood of stockouts. A seamless shopping experience, with relevant products in stock and personalized interactions, ultimately fosters customer loyalty and encourages repeat visits.
1. Improved Inventory Accuracy
Utilizing retail analytics enhances inventory accuracy by providing real-time data and insights. This leads to better stock management, reducing instances of overstocking and stockouts, which ultimately improves customer satisfaction.
2. Enhanced Demand Forecasting
Retail analytics allows businesses to analyze historical sales data and trends. This capability enables more accurate demand forecasting, helping retailers optimize their inventory levels based on expected customer demand, seasonal trends, and market changes.
Some interesting numbers and facts about your company results for Retail Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 5936 |
| Amount of suitable service providers | 4988 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1982 |
| Youngest suiting company | 2015 |
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Some interesting questions that has been asked about the results you have just received for Retail Analytics
What are related technologies to Retail Analytics?
Based on our calculations related technologies to Retail Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Retail Analytics?
The most represented industries which are working in Retail Analytics are IT, Software and Services, Marketing Services, Other, Consulting, Research
How does ensun find these Retail Analytics Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
