dunnhumby
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dunnhumby Model Lab is an application that provides automated pipelines for deploying machine learning algorithms. When developing models, data scientists go through many steps that are often repetitive and time consuming. Model Lab automates most of the time-consuming steps, allowing data scientists to focus on the modelling phase that delivers value. The product provides automated hyper-parameters tuning, allowing the users to focus on exploring many different algorithms. Thanks to our parallel computing feature, all the models are run in parallel, resulting in a significant runtime reduction.
CRM data allows you to give them all this in real time while optimizing for your goals.
PriceStrat is a pricing optimization software for retailers with integrated promotion modeling and optimization.
dunnhumby Sphere is a robust platform tailored for retailers and brands to streamline their Retail Media operations. This integrated solution fosters seamless collaboration by offering a single source of truth to retailers and brands, enabling them to effectively plan, execute, and measure the success of their omnichannel media campaigns, optimising ad revenue. dunnhumby Sphere combines data analytics, audience insights, and performance metrics to refine media strategies, ensuring optimal reach and effectiveness. Key Benefits for Retailers: • Deliver more relevant content to customers across diverse digital and in-store touchpoints • Improve monetisation with advertisers • Track the long-term impact of Retail Media on the customer experience Key Benefits for Brands: • Utilise predictive audiences to achieve brand objectives • Simplify the planning, booking, management, measurement, and billing of omnichannel campaigns on a self-service basis • Incorporate data science at every step of the planning and buying process
dunnhumby Assortment is a comprehensive end-to-end solution designed to help retailers optimise their product assortments efficiently, tailored to their customers' purchasing decisions. Leveraging AI-powered data science, dunnhumby Assortment delivers space-aware localised assortment recommendations at scale, enabling retailers to create customer-centric product ranges that boost sales and maximise profitability. With dunnhumby Assortment, retailers can make more informed assortment decisions by integrating behavioural data with space-aware recommendations, offering customers better choices. Key benefits for retailers include: • Store-specific ranges that appeal to local shoppers using behavioural insights • Optimised store layouts with AI-driven, space-aware recommendations • Reduced manual effort and streamlined processes through automated planogramming • Enhanced collaboration between retailers and suppliers • Increased sales through effective commercial negotiations by commercial teams Assortment also enhances team collaboration and simplifies the assortment process by providing in-depth insights, shortening the critical path to store-level planograms with built-in automation, and enabling on-the-fly optimisation.<br>
dunnhumby Promotion is a web-based tool designed to enhance the promotional planning process through the power of dunnhumby Customer Data Science. This innovative software supports everyday promotional decisions by providing valuable category guidelines, such as identifying the most effective display types to optimise promotion plans. dunnhumby Promotion also calculates the incremental performance of past promotions and evaluates the impact of each tactic used. Additionally, it identifies underperforming promotions that negatively affect sales and margins. Key Benefits for Retailers: • Proven to boost sales and margins while reducing the risk of underperforming promotions • Optimised promotional performance by selecting the best mix of tactics for maximum impact • In-depth insights for more effective negotiations with manufacturers • Enhanced customer experience through relevant promotions that resonate with customers
dunnhumby Shop is a web-based, self-serve platform designed to provide retailers with on-demand shopper insights, enhancing their understanding of customer buying behaviour both in-store and online. Leveraging advanced analytics, dunnhumby Shop equips retailers and CPGs with the insights needed to make informed, data-driven decisions to offer the products, prices and media that customers want. This ultimately improves the customer shopping experience across all touchpoints, driving increased sales and revenue. dunnhumby Shop offers customisable access tailored to your business requirements and specific questions, ensuring you receive the precise data and insights necessary for making customer-centric decisions. Key benefits for retailers include: • Real-time insights into key categories, with a comprehensive suite of reports to monitor and act on performance trends across all hierarchy levels • Relevant data and insights for brand owners concerning their categories and products • A shared view between retailers and brand owners, fostering effective collaboration and a unified customer strategy<br>
dunnhumby Reviews
Hideki M.
Digital Marketing Director at Toyota Motor CorporationGreat time spent with Dunnhumby Sphere.
AbdulAleem M.
A powerful tool to estimate the pricing strategy
Satya p.
One of the best model labs
About
What is dunnhumby?
dunnhumby is a global leader in customer data science, empowering businesses to compete and thrive in the modern data-driven economy. The company's expertise and solutions deliver actionable insights that enhance customer experience and drive hyper-personalization, loyalty, and promotional effectiveness across the retail industry. Founded in the late 1980s by Clive Humby and Edwina Dunn, dunnhumby pioneered the use of Big Data and mathematical algorithms to improve customer engagement for retailers and consumer goods companies around the world.From its headquarters in London, dunnhumby operates internationally, serving a prestigious list of companies and retailers from various sectors. The company offers a comprehensive range of services including data science, customer insights, media planning and optimization, and customer-led assortment and space optimization.
