.svg){kind=small}
Modernize for margin. Personalize for growth.
Macy’s leadership is driving a multi-banner transformation focused on efficiency, modernization, and customer experience.
Constructor accelerates that vision by turning verified shopper data and reinforcement learning into measurable impact — boosting conversion, improving margins, and reducing manual work across Macy’s, Bloomingdale’s, and Bluemercury.
Proof Point:
- Retailers using Constructor’s AI discovery platform have seen measurable ROI within 60 days — increasing revenue per visitor while reducing operational costs.
Deploy faster.
Learn continuously.
Scale seamlessly.
Constructor’s composable, API-first architecture integrates easily with Macy’s cloud and Adobe Experience Platform ecosystem — reducing dev cycles and enabling faster experimentation across banners.
Reinforcement learning continuously improves discovery performance, while Reasoning AI delivers explainable, contextual relevance that legacy search systems can’t match.
Proof Point:
- Engineering teams at leading retailers have reduced manual tuning by 40% after adopting Constructor’s learning-based discovery platform.
AI that optimizes discovery without sacrificing control.
Constructor automates and personalizes discovery while keeping merchandising teams firmly in control.
Reinforcement learning dynamically ranks products for engagement and sell-through in real time, while Reasoning AI and intuitive dashboards make every decision transparent and explainable.
Teams can adjust, override, and fine-tune outcomes across Macy’s, Bloomingdale’s, and Bluemercury — without heavy rule-building.
The result: faster sell-through, stronger margins, and significantly less manual work.
Proof Point:
- Merchandising teams using Constructor have reduced manual updates by 50% while increasing revenue per visitor by double digits.
Your data. Your models. Enhanced by verified shopper behavior.
Constructor extends Macy’s AI investments by ingesting verified clickstream data to power reinforcement learning and Reasoning AI.
This transparency-rich layer enhances in-house models, giving data teams explainable insights and continuous feedback loops that optimize for KPIs like conversion, AOV, margin, and relevance across all banners.
Proof Point:
- Constructor’s verified data and explainable AI deliver transparency at scale — enabling confident model tuning, improved personalization, and measurable business lift.
Helping Macy’s accelerate its multi-banner transformation with the right AI discovery strategy — driving gains in conversion, margin, and efficiency.
Partnering with Macy’s leadership to ensure Constructor delivers enterprise-level impact through clear alignment, measurable outcomes, and a seamless cross-functional experience.
Leading Macy’s onboarding and ongoing optimization — ensuring each banner improves relevance, sell-through, and operational efficiency.
Turning Macy’s verified shopper data into insights that quantify ROI, margin lift, and performance improvements across search, recommendations, and AI experimentation.
Never miss out on optimizing revenue — no matter the season
- Blend the art and science of merchandising with turnkey AI automation that streamlines manual work, all with the click of a few buttons from a single dashboard
- Know exactly when and where to promote new, high-margin, trending, or additional items for optimal conversions
- Avoid losing revenue from under- or overstocking by seeing which products are selling and how quickly
- Improve visibility across your catalog without compromising conversions by letting AI help you find the right balance between new versus top items
Personalize product recommendations to each unique shopper — onsite and offsite
- Hyperpersonalize product result sets based on real-time shopper behavior and preferences, ensuring the best product-customer match 100% of the time
- Determine what’s shown in each recommendation by hardsetting rules or allowing the AI to rank results against KPIs
- Receive transparent, easy-to-understand insights on recommendation pod performance via merchandiser-friendly tools
- Deliver consistent cross-channel experiences by aligning offsite and onsite product recommendations, making marketing campaigns more effective
Better cater to shoppers during seasonal and annual cyclic trends
- Automatically tailor landing pages to shoppers on a 1:1 basis at scale, thanks to AI-generated Collections
- Curate last-minute, personalized landing pages to capture quickly evolving fashion trends, thanks to the work of AI together with customer behavioral data
- Personalize Collections for email marketing and other campaigns by using the full merchandising suite of tools, encouraging cross-channel discovery
- Optimize for mobile shoppers with a fully responsive design that ensures seamless usability on any device
Enhance catalog visibility on a 1:1 basis, even with new products
- Support current trends and automatically improve catalog visibility by using generative AI and machine vision to combine raw catalog data and customer behavioral data
- Deliver hyper-relevant results for each shopper by enriching product data with fabric types, colors, styles, and even seasonal trends
- Boost purchasing confidence and reduce cart abandonment by providing comprehensive product information
- Improve ecommerce SEO and lower bounce rates with accurate and complete product data
“Macy’s is leading one of the most important retail transformations of our time. Constructor helps bring that vision to life by powering discovery experiences that are personalized, efficient, and profitable. By combining verified shopper data, reinforcement learning, and explainable AI, we deliver measurable business impact and empower teams across every banner.”
The 2025 State of Ecommerce Report
In this report, you'll learn:
- Which entry points matter most for each generation
- Why 41% of shoppers say their favorite retailer treats them like strangers
- How 64% of consumers already use GenAI to shop - and what they expect next
- Why half of shoppers distrust sponsored listings, and 25% would pay to avoid them
- Which trust signals - reviews, delivery clarity, checkout design - make or break a sale
