Show Customers Exactly What They Want Next
Enterprise recommendation engines that increase basket size, reduce bounce, and keep users engaged — by surfacing the right product, content, or offer at precisely the right moment across every channel.
The right recommendation at the right moment doesn’t feel like a suggestion, it feels like the product just gets the customer. Herring InfoTech builds recommendation engines that create exactly that experience, at scale, for businesses that can’t afford to leave engagement to chance.
We’ve deployed recommendation engines for e-commerce platforms, SaaS products, media companies, and B2B marketplaces. Each one is built from the ground up around your specific catalog, your customer journey, and the conversion patterns that are unique to your business. There’s no plug-and-play here, because what works for a fashion retailer is nothing like what works for an industrial parts supplier.
Why Recommendation Systems Matter
Lift Average Order Value
Show complementary products, upgrades, and bundles that customers actually want — not just what's in excess inventory.
Reduce Search Abandonment
When users can't find what they want, they leave. Smart recommendations keep them moving through your catalog.
Personalization That Scales
Serve individualized experiences to millions of users without a manual content team behind every interaction.
Context-Aware Suggestions
Factor in time of day, session behavior, device, and location, not just past purchases for recommendations that land.
Cold Start, Solved
New users and new products don't have to be dead zones. Our models handle cold-start scenarios without degrading the experience.
Continuous Model Learning
As customer behavior evolves, so does the model. No scheduled retraining cycles, just systems that stay sharp.
AI Solutions
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