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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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Commanders Act No 
FuseCommander No 
TrustCommander No 

Integrations

Commanders Act Yes 
FuseCommander Yes 
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 No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

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 Yes 
Data Visualization Yes 
Historical Reporting Yes 
Inventory Optimization Yes 
Planned vs Actual Tracking Yes 
Product Introduction Planning Yes 
Promotions Management No 
Replenishment Management Yes 
Sales Forecasting Yes 
Supply Forecasting Yes 

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 

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