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What is Veda Labs?

Achieve a deeper insight from your video surveillance and utilize analytics for informed business decisions. Veda Labs equips various industries—be it retail stores, supermarkets, restaurants, shopping centers, airports, or other commercial spaces—with the capability to extract real-time insights through advanced machine learning and computer vision technologies. By monitoring customer behavior from the moment they enter until they leave, retailers gain an all-encompassing perspective on their store's performance instantaneously. Prioritizing an enhanced customer experience is crucial for success, and Veda Labs empowers hotels to offer exceptional service to their guests through cutting-edge facial recognition technology. Furthermore, Veda provides in-depth analysis related to warehouse security and operational efficiency by leveraging computer vision and machine learning on a broad scale. Their AI-powered software comes equipped with a proactive alert system that instantly notifies users of any suspicious activities or tampering in critical areas, thus ensuring a heightened level of safety and security. This holistic strategy not only boosts situational awareness but also cultivates a more agile and responsive business landscape, allowing companies to adapt quickly to emerging challenges.

What is Ipsos Retail Performance?

Solutions for counting customers are fundamental to our retail technology portfolio, significantly contributing to the optimization of store operations. These systems go beyond simply tallying the number of visitors; the data they provide empowers retailers to make strategic and operational decisions that impact various areas, including staff allocation, monitoring of market trends, and maximizing the use of retail space. By employing sophisticated sensors and software, businesses can identify times of high traffic, strategically deploy employees to meet demand, and assess the effectiveness of particular displays or product lines. Additionally, with real-time access to foot traffic information and analytical tools, retailers can evaluate the success of their store layouts and marketing strategies, analyzing factors such as customer dwell time, engagement levels, and conversion rates. Our people counting solutions maintain an impressive accuracy rate of at least 95%, allowing businesses to scrutinize foot traffic patterns on an hourly basis, which not only uncovers current consumer behaviors but also aids in forecasting future buying trends. This in-depth insight into customer movement is invaluable, as it can markedly refine operational strategies and bolster overall sales results, ultimately leading to enhanced customer satisfaction and loyalty.

Media

Media

Integrations Supported

KnowledgeHound
TrendSpottr

Integrations Supported

KnowledgeHound
TrendSpottr

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Veda Labs

Date Founded

2019

Company Location

United States

Company Website

www.vedalabs.in/

Company Facts

Organization Name

Ipsos

Date Founded

1975

Company Location

France

Company Website

www.ipsos-retailperformance.com/en/

Categories and Features

People Counting

API
Anonymous Counting
Benchmarking
Car Counting
Conversion Tracking
Data Export
Events Statistics
Heatmaps
Mood/Age/Gender Recognition
Motion Detection
Reporting / Analytics
Retail Counting
Staff Exclusion
WiFi Tracking
Zone / Area Monitoring

Categories and Features

Market Research

Benchmarking
Compensation Management
Data Management
Email / Online
Face-to-Face
Panel Management
Paper-Based
Phone-Based
Sample Management
Statistical Analysis
Survey Management

People Counting

API
Anonymous Counting
Benchmarking
Car Counting
Conversion Tracking
Data Export
Events Statistics
Heatmaps
Mood/Age/Gender Recognition
Motion Detection
Reporting / Analytics
Retail Counting
Staff Exclusion
WiFi Tracking
Zone / Area Monitoring

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