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Description
Imprice serves as a pricing automation platform built on a SaaS model, designed specifically for both online and offline retailers. Our platform harnesses the power of artificial intelligence to enhance revenue and gross margin effectively. With a commitment to transparency, we enable users to adopt various pricing strategies by merging rule-based competitive pricing with AI-fueled price optimization that adapts to market demand. This demand sensing capability empowers retailers to swiftly and accurately address any environmental shifts, including unexpected changes. Additionally, our prebuilt API facilitates seamless and rapid system integrations, ensuring that the connection between Imprice and your ERP system, accounting software, website, or mobile app can typically be established within a two-week timeframe. Ultimately, you desire a pricing system that can instantly and precisely respond to fluctuations in demand and the pricing tactics of competitors, ensuring that you remain competitive and profitable in a dynamic market landscape. By leveraging our innovative tools, retailers can maintain agility and responsiveness in their pricing strategies.
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
No
API Access
Has API
No
Integrations
Commanders Act
No
FuseCommander
No
TrustCommander
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Imprice
Website
imprice.ai/
Vendor Details
Company Name
dunnhumby
Founded
1989
Country
United Kingdom
Website
www.dunnhumby.com/retailers/price-promotions/
Product Features
Pricing Optimization
Channel Analysis
No
Competing Product Analysis
No
Forecasting
No
Market Analysis
No
Multi-Store Management
No
Price List Management
No
Price Optimization Automation
No
Pricing Analytics
No
Profitability Analysis
No
Scenario Planning
No
Product Features
Pricing Optimization
Channel Analysis
No
Competing Product Analysis
No
Forecasting
Yes
Market Analysis
No
Multi-Store Management
No
Price List Management
No
Price Optimization Automation
Yes
Pricing Analytics
Yes
Profitability Analysis
No
Scenario Planning
No
