Every Retail Moment is an Opportunity.

Are You Acting on it?

Only an Algorithmic Decisioning Platform CAN.

January 16 – 18, 2022
Booth #6403

Pre-book your meeting with us

You want to do the best for your business and customers, and in-the-moment decisioning is at the center of it all.

An Algorithmic Decisioning Platform considers the context, understands your business goals, weighs options, and orchestrates decisions across your retail organization.

Come see how we’re helping Retailers with Algorithmic Decisioning – so you can stop relying on opinions and leverage science to succeed in the digital-first era.

400+ Enterprise Brands and Retailers Rely on Algorithmic Decisioning

Particle element

Why Enterprise Wide Algorithmic Decisioning?

Particle element

Decisions need to work together, rather than in isolation

Uncertainty and complexity are on the rise and decision making requires not just unified data, but also advanced models that consider all context, are continuously optimized and are explainable.

Value is in real-time, in-the-moment decisions

Digital needs quick decisions – decisions to engage with shoppers through their purchase journey, decisions to plan the right assortments, decisions to hyper-personalize experiences and marketing – all with a goal to grow CLTV and customer loyalty.

Stores and digital converge to become one

Shoppers want to search, engage, and interact with products and services across a retailer’s ecosystem, without artificial boundaries that silo processes and come in the way of a seamless experience.

Recognized by the Analysts

451-research >

Algonomy’s experience platform uses machine learning to deliver a 360-degree customer view.

Forrester Wave >

Algonomy’s sweet spot is advanced customer analytics for retailers. Its robust customer data model underlies prebuilt KPIs and predictive scores, which retailers and other direct-to-consumer brands find alluring.

Gartner >

451 Research validates Algonomy’s offerings for digital-first personalized customer engagement.

Are you a marketer, a merchandiser, a digital leader, a commerce expert or a sourcing professional?
We’ve got something for everyone.

Why Algonomy?

What Can We Help You Do Uniquely?

Marketing. Commerce. Data. Merchandising. Supplier Collaboration

Digital and Commerce Leaders

Do away with sub-par conversion rates by being relevant to each shopper, at every moment – without burdening their merchandisers, wasting effort on manual testing, or setting up extensive rules.

Product Recommendations >
Personalized Search >
Personalized Content >
DeepRecs >

Marketers

For the first time unsilo stores and online, identify star customers, market to them based on their life stage and lifecycle, auto-tailor experiences based on in-the-moment context and maximize customer lifetime value.

Real-time CDP >
CJO >

Merchandisers

Accurately forecast demand, plan assortments and availability across stores and digital, optimize markdowns and steer insights-driven supplier collaboration.

Merchandising Analytics >
Product Recommendations >
Supplier Collaboration >

Technology & Analytics Teams

Leverage automated workflows for data collection, unification, and validation. They get easy access to persistent, unified customer data for advanced investigation and custom analyses.

Customer Lakehouse >
Customer Analytics >
Data & Infrastructure >
Data Science Workbench >

Do away with sub-par conversion rates by being relevant to each shopper, at every moment - without burdening their merchandisers, wasting effort on manual testing, or setting up extensive rules.

Product Recommendations >
Personalized Search >
Personalized Content >
DeepRecs >

For the first time unsilo stores and online, identify star customers, market to them based on their life stage and lifecycle, auto-tailor experiences based on in-the-moment context and maximize customer lifetime value.

Real-time CDP >
CJO >

Accurately forecast demand, plan assortments and availability across stores and digital, optimize markdowns and steer insights-driven supplier collaboration.

Merchandising Analytics >
Product Recommendations >
Supplier Collaboration >

Leverage automated workflows for data collection, unification, and validation. They get easy access to persistent, unified customer data for advanced investigation and custom analyses.

Customer Lakehouse >
Customer Analytics >
Data & Infrastructure >
Data Science Workbench >

Experience the ONLY Algorithmic Decisioning Platform for Retail at NRF 2022

Pre-book a meeting with us at NRF now

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