Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Create an effective pricing and promotional strategy to enhance both revenue and profit margins. The NielsenIQ revenue optimizer equips manufacturers and retailers with the tools needed to effectively manage and consistently refine their revenue growth strategies. This comprehensive solution harnesses the power of artificial intelligence to pinpoint the most effective everyday and promotional pricing that maximizes profitability. Stay competitive with this pioneering revenue growth management tool, designed to facilitate quicker and more efficient insights into pricing and promotions. By utilizing the proprietary AI features of the NielsenIQ revenue optimizer, businesses can significantly enhance their portfolio strategy development, optimize price and pack configurations, and improve their customer account planning while also refining promotion evaluations and trade strategies. This innovative approach not only drives immediate revenue but also sets the foundation for sustainable long-term growth.
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
StoreSpace
Yes
TrustCommander
No
Integrations
Commanders Act
Yes
FuseCommander
Yes
StoreSpace
No
TrustCommander
Yes
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
No
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
NielsenIQ
Founded
1923
Country
United States
Website
nielseniq.com/global/en/solutions/nielseniq-revenue-optimizer/
Vendor Details
Company Name
dunnhumby
Founded
1989
Country
United Kingdom
Website
www.dunnhumby.com/retailers/price-promotions/
Product Features
Revenue Management
Competitor Analysis
No
Dynamic Pricing
No
For Airlines
No
For Hospitality Industry
No
Forecasting
No
Inventory Control
No
Price Optimization
No
Recommendation Engine
No
Yield Management
No
Revenue Operations
AI Insights
No
Account Health Dashboard
No
Automatic CRM Updates
No
Contact / Activity Tracking
No
RevOps Automation
No
Revenue Dashboard
No
Revenue Intelligence / Reporting
No
Sales Analytics
No
Sales Forecasting
No
Third-Party Data Aggregation
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