MACHINE LEARNING KEEPS YOUR REGULAR PRICING ON TRACK
With Clear Demand’s Third-Generation Science, you align your everyday pricing with category strategies across physical and digital channels and throughout the product lifecycle – from introduction to de-listing. Tune and constrain your optimization model to meet internal business pricing rules and deliver on shopper expectations.
Results You’ll Count On, Every Day
Rely on our highly-evolved approach to regular price optimization. Clear Demand takes the everyday pricing to the next level of accuracy and speed with superior optimization science powered by Machine Learning.
Clear Demand solutions take a more advanced approach to rules definition, prioritization, and processing speed. It is housed in a cloud environment (SaaS) with no limitations on growth as data requirements expand.
Machine Learning enables highly accurate determination of each item’s demand curve and most efficient price. Your rules are applied to conform with category strategy and competitive response. Your forecast gets better over time, as the system adapts the data model to shopper response.
The result is accurate, trusted everyday pricing that lets your pricing pros deliver consistent results.
Customers experience
Prices Your Shoppers Will Trust
Shoppers have an uncanny ability to recognize when your prices are inconsistent or out of alignment. When prices make sense, your reputation is enhanced. When they don’t, trust is undermined.
Clear Demand’s every-day pricing solution maintains your trusted price image on two fronts: rules management and detection.
Getting relative prices right is essential to price perception. Clear Demand advanced rules management keeps prices consistent within line structures, sizes and traits. You maintain optimal price differences between brands and private-label.
To handle complexity, Machine Learning monitors and detects inconsistencies relentlessly so you can take confident, prompt action. Our systems currently generate more than 1 million alerts a day for retailers.
Factor In Competitor Prices
Define strategic goals with respect to competitive pricing. For each category or competitor, you may choose to monitor, match or out-maneuver.
Leverage competitive data sourced through our partnership with Nielsen. Access other sources of competitive price data. Our system handles it all seamlessly.
More Value, Sooner
A reliable pricing solution must possess the usability and flexibility to support the way you work. Clear Demand does not force the business to conform to the solution. It is designed to adapt to your business requirements and even accommodate special merchandising circumstances.
As a result you enjoy the benefits of highly advanced and dynamic science, with the most accurate store-level forecast available in the industry. You gain the ability to optimize and analyze pricing based on product attributes.
Choose the Clear Demand 3rd Generation pricing solution to better understand and improve your:
- Category Reviews: Resets, Competition, Assortment Changes
- Category Health: Cost Changes, Competitor Prices, Consumer Demand
- Opportunity Assessment: Margin Target; Revenue Target; Business Strategy
Latest Content On Price Optimization
Secrets to Making Price Optimization Compliant with Rules
- Posted by Jim Sills
- On July 25, 2018
Rules are everywhere. Your mother had rules. Your teachers had rules. And retail pricing has rules. Pricing rules are...
- regular price optimization
Clear Demand Presents Fundamentals of Retail Science: Episode VI (Intricacies with Regular Price)
- Posted by Adam Rosenberg
- On March 29, 2018
This will be the final chapter covering the ‘fundamentals’ of retail science. We have a foundation established and we...
Clear Demand Presents Fundamentals of Retail Science: Episode III (Regular Price Optimization in Retail)
- Posted by Adam Rosenberg
- On February 1, 2018
Welcome back. We continue our education series leveraging our expertise in retail science. These posts will be made regularly and...
- elasticity, Price Image, regular price optimization, retail
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