Audience
Companies searching for a solution to boost value perception and execute promotions that drive results
About dunnhumby Price
As marketplace competition increases, downward price pressures mean retailers face unsustainably low margins. To succeed and avoid the race to the bottom, retailers must improve Customer price perception and promotional effectiveness, without reducing prices too far. dunnhumby analyses existing strategies and identifies the best tactics for success. So you can optimize pricing strategies to grow margins and profit and boost promotion performance, all while improving customer price perception. Satisfying changing Customer pricing expectations is already a complex task, but combined with the need to hit commercial targets, it can become seriously challenging. dunnhumby Price gives you the ability to strategically optimize prices and forecast outcomes. Using Customer Data Science to recommend optimal base prices, Price helps you build Customer trust, improve value perception, and generate tangible results.
Pricing Lifecycle
Leading-edge proved solution for the implementation of Pricing, Promotions, and Markdown optimization strategies. Forget parameters, think strategically. Stock Optimisation takes a new approach to replenishment and allocations, based on a best-of-breed regular and promotional forecast. Most retailers use very simple pricing rules based on fixed gross margins. Until trading begins and sales come through, a retailer can never tell if the initial price they have is right. Pricing Lifecycle helps you retain brand integrity and margin protection without destroying price perception. Merge data, pricing strategies and optimization tactics to get to the right price, in every channel, every day; Allows for simulation measuring the impacts on sales, margin, and price image of all your decisions prior to execution. Improves revenue and gross margin from 2-6%.
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Spresso
Spresso is a data-driven, AI-powered approach to pricing strategy, utilizing real-time insights and advanced analytics to optimize pricing decisions for any business goal. Unlock the full potential of price testing with our multi‑arm bandit to quickly identify the optimal price for your products and adapt in real-time to customer and market changes. Leverage multi‑armed bandit experimentation for unparalleled pricing precision. Maximize conversion while protecting margins for promotional campaigns. Understand how price changes impact demand across products to enable strategic pricing decisions.
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Competera
Competera enables retailers to increase customer trust by setting and maintaining optimal price positions on a real-time basis by leveraging the power of AI. Our deep machine learning algorithms enable our enterprise clients’ to rebound on average 6% of gross margin by continuously calculating and re-quantifying billions of possible price combinations.
Depending on a retailer's needs at each stage of the pricing journey, Competera offers three major products that can be either combined or used separately. These products include Competitive Data providing real-time market data, Pricing Automation reducing time spent on repricing from 60 to 4 hours weekly, and Price Optimization generating 8% revenue uplift on average along with 6% margin growth. The cost of the platform depends on the number of SKUs under management, deployment scale, and product setup.
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XPLN Suite
XPLN is one of the leading solutions for collecting current market data, e-commerce price optimization and comprehensive services in the field of Digital Shelf Analytics. A strong focus on technology, innovation and proximity to the customer enable us to deliver higher quality data to our customers and help them grow their business through valuable insights and confident decisions about offers and positioning. Many well-known retailers and brands trust in us.
XPLN automatically collects market prices from online channels about your own and competitors' offers. Brands and retailers can track online ratings, stock levels, prices, marketplace ranking, and other metrics on a centralized platform. Clients can also define product repricing strategies based on configured rules, utilize the price monitoring engine to determine required changes, and manually or automatically adjust prices in the database. Further protect your brand through MAP monitoring and detecting unauthorized sellers.
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Integrations
Company Information
dunnhumby
Founded: 1989
United Kingdom
www.dunnhumby.com/retailers/price-promotions/
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Product Details
Platforms Supported
SaaS
dunnhumby Price Product Features
Pricing Optimization
Forecasting
Price Optimization Automation
Pricing Analytics
Channel Analysis
Competing Product Analysis
Market Analysis
Multi-Store Management
Price List Management
Profitability Analysis
Scenario Planning