Consumers / Shopping Assistant
Turn Browsers Into Buyers With an AI Shopping Consultant That Remembers.
AI-assisted shoppers convert at 4x the rate of unassisted shoppers. Swisper captures this for retailers through a platform that connects once and scales across any catalogue — with persistent memory that makes returning customers feel known.
The Problem
Online shoppers in large catalogues become the integration layer. They must translate vague needs ("a warm light for the living room") into technical filters, compare dozens of near-identical products across tabs, and decide without expertise.
The result: abandoned carts, wrong purchases, costly returns, and lost revenue.
Traditional chatbots:
Don't solve abandoned carts, wrong purchases, costly returns, and lost revenue. They answer questions but don't guide.
Forget every session.
Recommend but don't execute.
Five Interaction Patterns
Context-Aware Product Discovery
The assistant understands intent, filters by specs, and returns ranked shortlists with explanations. Memory ensures returning customers are recognized with past purchases, style preferences, and project context. No re-explaining required.
Fully Agentic Checkout
End-to-end from selection through cart, coupon application, and checkout — within the conversation. Fewer clicks, higher conversion, full real-time validation of stock and price.
Image Search
Upload a photo of a product you like. The assistant finds matching catalogue items and shows alternatives. Visual discovery for customers who know what they want but not what it's called.
Room & Style Analysis
A room photo triggers automatic style detection, color palette recognition, and spatial dimension analysis. Recommendations are matched to the actual environment — enabling targeted cross-sell and upsell.
3D Product Visualization
Products visualized in the customer's actual environment at correct scale. A professional interior designer for your clients, embedded in the shopping experience.
Measurable Impact
Conversion rate
Industry Baseline
3.1%
With Swisper
12.3%
Cart abandonment recovery
Industry Baseline
~5%
With Swisper
35%
Time to shortlist
Industry Baseline
10-15min
With Swisper
<60s
Sources: Industry benchmarks from Zoovu, Rep AI, McKinsey, Glassix (2024–2026)
“Personalization drives 5–15% revenue lift. Fast-growing companies derive 40% more revenue from personalization than slower-growing peers.”
McKinsey & Company
Three Customer Personas That Benefit
Orientation Seeker
Rare purchase, low domain knowledge.
Needs guidance on room fit, style matching, and technical compatibility.
Returning Customer
Has a reference product.
Needs quick equivalent finding, compatibility validation, and personalized re-engagement based on purchase history.
Project Buyer
Renovation, multiple rooms, cohesive style required.
Needs bundle planning and strategic cross-sell across product categories.
New Distribution Channel:
The Swisper Network
A European ecosystem that compounds
Every retail partner becomes discoverable through the Swisper network. When a user asks for product advice, your catalogue surfaces naturally alongside complementary services — not through ads, but through qualified intent.
How it compounds
Every retail partner becomes discoverable through the Swisper network. When a user asks for product advice, your catalogue surfaces naturally alongside complementary services — not through ads, but through qualified intent.
What this means for partners:
Higher conversion from qualified intent
Users arrive with a specific need, not from generic search traffic.
Larger basket sizes through cross-service optimization
The agent recommends across categories and partners when it serves the user.
Default placement in daily micro-decisions
As users build habits with Swisper, partner products become the natural choice.
Zero acquisition cost
Simple API integration, no marketing spend, commission-based revenue share.
Pricing
SaaS licensing plus KPI-bounded pricing tied to conversion uplift. We share the upside.