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Description

Optimizing Pricing for Profit, Gaining Insights on Competitor Pricing, and Forecasting Demand are all enhanced through the use of AI and Machine Learning technologies. This approach resulted in a remarkable 14.4% increase in sales for a popular American casual apparel brand due to more effective pricing strategies. By employing Intelligent Demand Forecasting, we merge the strengths of machine learning with human expertise, taking into account various factors such as local events, holidays, back-to-school periods, school closures, community festivals, social signals, and broader economic indicators. Our services encompass Demand Forecasting, Store Ordering, Purchase Order Recommendations, and efficient Shelf Space Allocation & Optimization, all backed by Continuous Monitoring and Improvement processes. Additionally, we focus on Intelligent Pricing to achieve better sales realization and enhanced profit margins. By analyzing price elasticity based on product, location, and time, we can strategically determine appropriate mark-ups or markdowns. Our Differential Pricing Strategies are designed to prevent a downward pricing spiral, and we utilize A/B testing to validate our methods and results effectively. Ultimately, our comprehensive approach not only supports immediate sales goals but also fosters long-term growth and sustainability in the competitive market.

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

Screenshots View All

Screenshots View All

Integrations

Commanders Act
FuseCommander
TrustCommander

Integrations

Commanders Act
FuseCommander
TrustCommander

Pricing Details

No price information available.
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

NextOrbit

Founded

2014

Country

India

Website

www.nextorbit.com/en/

Vendor Details

Company Name

dunnhumby

Founded

1989

Country

United Kingdom

Website

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

Product Features

Demand Planning

Capacity Planning
Data Visualization
Historical Reporting
Inventory Optimization
Planned vs Actual Tracking
Product Introduction Planning
Promotions Management
Replenishment Management
Sales Forecasting
Supply Forecasting

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

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