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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 Mastercard SpendingPulse?

SpendingPulse Next Generation is now available across ten diverse sectors, including restaurants, hotels, and general retail. It provides an in-depth analysis of spending at both the county and Designated Market Area (DMA) levels, facilitating comparisons between physical and online transactions. By utilizing SpendingPulse Next Generation, businesses can gain insights into their performance in relation to key industry sectors, adapt to changes in consumer purchasing trends at specific geographic locations, and capitalize on transitions in consumer spending habits. Backed by a skilled team of economists, Mastercard SpendingPulse offers invaluable market intelligence derived from national retail sales encompassing all forms of payment. The insights generated from SpendingPulse draw from aggregated sales data within the Mastercard payments framework, complemented by survey-based estimates for additional payment methods such as cash and checks, thus providing a thorough analysis of consumer spending behavior. This comprehensive examination equips businesses with the tools necessary to refine their strategies and enhance their competitive positioning in an ever-evolving market landscape. Ultimately, leveraging these insights can lead to more informed decision-making and greater success in navigating market dynamics.

Media

Media

Integrations Supported

GP Solutions
PulzePay

Integrations Supported

GP Solutions
PulzePay

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

Mastercard Data & Services

Date Founded

1966

Company Location

United States

Company Website

www.mastercardservices.com/en/solutions/mastercard-spendingpulse

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

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