AI-Powered Product Recommendations for a US Retailer. Transforming Personalization and Efficiency Across Channels.
A leading US retailer needed a smarter way to deliver personalized product recommendations across web, email, SMS, and mobile. With hundreds of locations and a wide range of complex merchandising rules, their team was spending five hours a day with five people manually curating recommendations. The process was slow, inconsistent, and impossible to scale.
Solvenna partnered with the retailer to introduce AI-driven personalization that dramatically improved relevance and reduced manual effort. What once required twenty-five labor hours per day now takes a single hour while still delivering highly individualized recommendations.
THE CHALLENGE
The retailer had millions of customers and a rapidly expanding footprint. They needed to move beyond basic segmentation and manual curation to something more intelligent and scalable.
They faced several obstacles:
- Inconsistent customer experiences caused by generic product suggestions
- Difficulty delivering personalized recommendations across email, website, SMS, and mobile
- Heavy manual workload that limited experimentation and slowed execution
They needed a unified, AI-powered approach that could honor complex merchandising rules while increasing personalization and efficiency
THE SOLUTION
Solvenna helped the retailer identify and implement a platform that could:
Unify customer data from POS, ecommerce, loyalty, and in-store interactions.
Automate AI-powered product recommendations that adapt to customer behavior.
Build affinity profiles using browsing, purchase history, and engagement signals.
Deliver real-time recommendations across web, email, SMS, and mobile.
Enhance automated journeys with dynamic, personalized content.
THE RESULTS
Solvenna Expands Blueshift’s Capabilities
The retailer was already using Blueshift as its CDP and marketing automation platform. Solvenna conducted a strategic analysis comparing Blueshift’s native recommendation engine to other market options. Blueshift proved to be the best fit due to its AI capabilities and seamless integration with the existing stack.
With the availability of various data sources and AI capabilities in CDP, we were able to drive personalization at scale.
Within weeks, Solvenna implemented Blueshift’s recommendation engine and activated AI-driven personalization across channels.
Why This Transformation Within Weeks and Didn’t Take 6–12 Months
- Leveraged existing CDP (Blueshift) instead of new vendor onboarding
- Reused existing customer data pipelines
- Built modular recommendation templates
- Enabled native Recommendation Models
- Started with 3 high-impact use cases (not 20)
What We Delivered
Unified Customer Insights: Created a holistic view of each customer to power accurate, real-time recommendations.
AI-Powered Segmentation: Analyzed purchase patterns, browsing behavior, and emerging trends to refine personalization.
Real-Time Content Personalization: Delivered dynamic recommendations on the website and mobile app.
Three Core Recommendation Types:
- Exclusive Products for You
- Similar Products
- Trending Products
Omnichannel Integration: Extended AI-driven recommendations into email and SMS using affinity profiles.
Automated Re-Engagement: Triggered personalized cart abandonment reminders and tailored promotions.
The Impact: Data-Driven, Personalized Shopping at Scale
With AI-driven automation replacing manual curation, the retailer moved towards autonomous marketing impacting below metrics:
| Metric | Before AI | After AI | Impact |
| Operational Efficiency | 5 people, 5 hrs a day | 1 hr / person | ↓ 80% |
| Personalized Web Recommendation | No | Yes | Automated, Scaled & Personalized |
| Email/SMS/Mobile Recommendation | Generic | Personalized | Automated & Scaled |
| Manual effort | High | Low | Automated, Less time to launch |
| Ability to launch Ad-hoc campaigns | Few hours | < 30 min | 5x-6x Reduction in Time |
The retailer now delivers consistent, personalized recommendations at scale while freeing the team to focus on strategy and creativity.
With AI-driven automation replacing fragmented, manual efforts, our client transformed how they engage and convert customers across channels. By delivering relevant product recommendations precisely when customers need them, they foster stronger connections, increased loyalty, and sustainable growth.
By replacing fragmented and manual efforts with Blueshift’s AI-driven automation, our client underwent a transformation in the way they are now able to deliver seamless, engaging, and revenue-producing product recommendations within their marketing tactics across multiple channels, eventually enhancing their overall brand experience.
When customers can quickly identify products they are interested in, they feel understood and cared for – they’re more inclined to return, explore new products, and even share their positive experiences with others. As this and any other industry continues to evolve, embracing such strategies will be key to meeting customer expectations and standing above competition.
What This Enables Next in Personalization
- Dynamic pricing / promotions
- AI-driven contact strategy (send-time, channel mix)
- Store-level personalization
- Inventory-aware recommendations
- Predictive churn prevention
- More upsell/cross-sell recommendations such as Frequently bought together, Complete this Set, Build your basket, Trending Add-on and so on
Why this matters
- 67% of consumers are more likely to shop with brands that provide relevant recommendations . It make shoppers feel like VIPs. [1]
- 35% of Amazon’s revenue is driven by recommendations [1]
- Customers engaging with recommendations are 4.5x more likely to convert [2]
- AI-driven personalization can drive 30%+ conversion lift (case benchmarks) [2]
- 65% of businesses are either accelerating existing generative AI strategies or creating their first AI strategy. [3]
Business Impact and What Comes Next
Is your business ready to maximize revenue with AI-powered recommendations?
Solvenna specializes in helping retailers activate customer data and deploy AI-driven personalization that drives measurable growth. Whether optimizing an existing platform or evaluating new solutions, we ensure organizations get maximum value from their technology investments.
If you want to increase personalization, reduce operational effort, and create a more intelligent customer experience, Solvenna can help you get there.
WE CAN HELP
With a deep understanding of customer data platforms and AI-driven personalization, Solvenna transformed this leading retailer’s existing technology stack. By consolidating real-time customer data across channels, we equipped their marketing team with sophisticated segmentation capabilities, AI-powered product suggestions, and automated personalization without introducing complexity. Our MarTech expertise enabled the delivery of timely, relevant product recommendations that enhanced customer engagement and generated measurable revenue growth.
At Solvenna, we believe in solving complex challenges with simple, scalable solutions that maximize value and efficiency.
Interested in how Solvenna can help your organization achieve the same? Contact us to start the conversation.
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