Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
PriceEasy is an innovative platform that leverages AI for retail intelligence and dynamic pricing, specifically aimed at enhancing the operations of fuel, convenience, and multi-site retailers by optimizing their pricing strategies, site selection, and overall in-store performance through up-to-the-minute market data. This platform integrates competitor price tracking, external data sources, and advanced machine learning techniques to offer operators a comprehensive view of market trends, consumer behaviors, and competitive landscapes. Retailers can efficiently manage and modify thousands of SKUs using AI-powered pricebook workflows, which also allow them to simulate potential demand and margin results prior to implementing any price adjustments. By continuously monitoring millions of products across numerous retail locations, PriceEasy enables businesses to swiftly respond to competitor actions and market changes. Additionally, the platform offers insights into zone-based pricing and price elasticity, empowering retailers to customize their pricing strategies based on specific locations while gaining a deeper understanding of customer sensitivity to pricing fluctuations. This level of granularity enhances decision-making and ultimately drives sales performance across varied market segments.
Description
With the rise of competition in the marketplace, retailers are grappling with the challenge of maintaining healthy profit margins amidst relentless downward pressure on prices. To thrive and steer clear of the detrimental race to the bottom, it is essential for retailers to enhance customer perceptions of pricing and the effectiveness of their promotions, all without drastically cutting prices. Dunnhumby conducts a thorough analysis of current strategies to pinpoint the most effective tactics for achieving success in this competitive landscape. This enables businesses to fine-tune pricing strategies that not only increase margins and profits but also enhance the performance of promotions while improving how customers perceive value. Navigating shifting customer pricing expectations is already a complicated endeavor, and when coupled with the necessity to meet commercial objectives, it becomes a daunting task. Dunnhumby Price empowers retailers with tools to strategically adjust prices and predict future outcomes effectively. By leveraging Customer Data Science, it suggests ideal base prices, thereby fostering customer trust, enhancing perceived value, and driving significant business results. Ultimately, this approach allows retailers to align their pricing strategies with customer expectations, paving the way for sustainable growth and success.
API Access
Has API
API Access
Has API
Integrations
Commanders Act
FuseCommander
TrustCommander
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
PriceEasy
Founded
2020
Country
United States
Website
www.priceeasy.com
Vendor Details
Company Name
dunnhumby
Founded
1989
Country
United Kingdom
Website
www.dunnhumby.com/retailers/price-promotions/
Product Features
Convenience Store
Deli / Restaurant Management
Employee Management
Fuel Management
Fuel POS
Grocery POS
Inventory Management
Lottery Management
Loyalty Program
Multi-Store
Price Book
Retail Management
Single Store
Pricing Optimization
Channel Analysis
Competing Product Analysis
Forecasting
Market Analysis
Multi-Store Management
Price List Management
Price Optimization Automation
Pricing Analytics
Profitability Analysis
Scenario Planning
Product Features
Pricing Optimization
Channel Analysis
Competing Product Analysis
Forecasting
Market Analysis
Multi-Store Management
Price List Management
Price Optimization Automation
Pricing Analytics
Profitability Analysis
Scenario Planning