Personalized Shopping
Stop forcing customers to toggle filters. Sage uses Persistent Memory and Multimodal Intelligence to curate the perfect storefront for every individual user.
Every interaction builds a persistent customer profile that spans sessions and channels. A size entered on WhatsApp is immediately applied on the web storefront.
Memory is encrypted per-tenant and operator-visible, so your team can inspect and manage any customer profile from the Memory Admin dashboard.
Customer Memory Profile
Preferences
Size Medium, darker colorways, vegan materials only
Purchase History
Bought slim-fit trousers and earth-tone shirts in the past 90 days
Return Behavior
High return rate for shoes in standard sizing
Persona
Price-sensitive repeat buyer focused on workwear, responds well to bundle offers
Cross-Channel Context
Mentioned "prefers linen" on WhatsApp, applied to web storefront
Visual Search Flow
Customer uploads a screenshot from Instagram or a photo of an outfit.
Sage vision analysis identifies color palette, silhouette, and style cues.
Catalog search returns 3 closest matches from live inventory.
Customer taps to add directly to cart. One-click checkout.
"Find me a dress like this." Customers upload screenshots or photos, and Sage matches them to your live inventory using visual reasoning.
Visual intent that was previously lost to generic keyword search is converted directly into a sale.
When a customer adds an item to their cart, Sage does not just say "Check out." It suggests the right complementary item at the right moment.
Intent Detection
Sage identifies high-purchase-likelihood signals from the conversation context.
Bundle Generation
Complementary items are selected from live inventory based on the customer memory profile.
In-Chat Presentation
Generative UI renders a product carousel with the bundle offer directly inside the chat.
One-Click Checkout
Cart is pre-populated and a direct checkout link is delivered to close the loop.
Every support interaction is also a sales opportunity. A customer checking their order status is shown a relevant recommendation if their profile signals high purchase likelihood — without any manual merchandising effort.
How does Sage know my size?
Sage builds a Persistent Memory profile across sessions. Every time a customer provides sizing information or completes a purchase, that data is stored and retrieved at the start of the next interaction. Customers never answer the same question twice.
Can Sage suggest outfits?
Yes. Sage can suggest complete outfits based on an anchor item, the customer profile, and your live inventory. It can also use uploaded images as style references.
Does this work on mobile?
Yes. The full personalization stack including visual search and memory-driven recommendations works across mobile web, WhatsApp, and Instagram DM.
Can I search for products using images?
Yes. Sage's Multimodal Intelligence allows customers to upload screenshots or photos and receive instant visual matching across your entire catalog.
Book a personalized demo to see Sage in action, or join our waitlist for early enterprise access.