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What is dunnhumby Price?

As competition intensifies in the retail sector, businesses face the daunting task of preserving healthy profit margins while contending with continuous price reductions. To succeed and avoid falling into the harmful trap of excessively lowering prices, retailers must focus on improving customer perceptions of their pricing and promotional efforts without making drastic cuts. Dunnhumby undertakes an in-depth evaluation of existing approaches to identify the most successful strategies for navigating this competitive environment. This analysis equips retailers with the insight needed to refine their pricing models, which can lead to increased margins, higher profits, and improved promotional effectiveness while positively influencing customer value perception. Managing evolving customer expectations around pricing is already a complex challenge, and the added pressure of achieving business goals makes it even more formidable. Dunnhumby Price offers retailers the tools necessary to make informed pricing adjustments and anticipate future market trends. By utilizing Customer Data Science, it recommends optimal base prices, which helps to build customer trust, boost perceived value, and generate substantial business outcomes. Furthermore, this strategic alignment between pricing and customer expectations ultimately fosters an environment conducive to ongoing growth and prosperity for retailers.

What is Competera?

Competera enhances the profitability of retailers and cultivates customer loyalty by leveraging artificial intelligence to create optimal, customer-focused pricing in real time. Our comprehensive platform merges Competitive Data with the Pricing Platform to fulfill all your pricing requirements effortlessly. - Competitive Data provides exceptional, real-time market insights with a 98% Service Level Agreement (SLA), offering a complete 360-degree perspective of the market. This empowers retailers to identify market trends and adjust their pricing strategies with confidence. - The Pricing Platform utilizes Contextual AI along with over 20 demand influencers to deliver real-time pricing optimization across your entire range of products and sales channels. This enables retailers to make informed decisions with 95% accuracy, enhance basket values, and achieve a gross margin increase of up to 6%. Moreover, our platform significantly reduces the workload for pricing teams by as much as 70%, enabling your team to concentrate on strategic initiatives aimed at fostering growth. The investment for our solution is customized according to the number of SKUs managed, the extent of deployment, and the specific setup of your products, ensuring it aligns perfectly with your individual business requirements. This flexibility makes it easier for retailers to adapt to changing market dynamics and stay competitive.

Media

Media

Integrations Supported

Commanders Act
FuseCommander
TrustCommander

Integrations Supported

Acumatica Cloud ERP
Alumio
Amazon EC2
Amazon Web Services (AWS)
Onebeat
Oracle CRM On Demand

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

By request
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

dunnhumby

Date Founded

1989

Company Location

United Kingdom

Company Website

www.dunnhumby.com/retailers/price-promotions/

Company Facts

Organization Name

Competera

Date Founded

2017

Company Location

US

Company Website

competera.ai/brand-pricing-platform

Categories and Features

Pricing Optimization

Forecasting
Price Optimization Automation
Pricing Analytics

Categories and Features

AI eCommerce

Not specified

Competitive Intelligence

Alerts/Notifications
Competing Product Analysis
Trend Analysis
Website Monitoring

eCommerce Analytics

Not specified

eCommerce Tools

Not specified

Price Monitoring

Not specified

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

Retail Analytics

Not specified

Retail Management

Reporting/Analytics
eCommerce

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