Personal Shopper Agent
Customer Experience
Overview
Why hire this digital worker?
Online shoppers face endless choice and almost no guidance, so they bounce, abandon carts and buy less than they would with help. In store, your best associates guide, reassure and upsell, but that expertise can't reach every visitor on the website or app. Generic recommendations and static merchandising leave conversion, basket size and loyalty on the table. Personalisation is proven to work, it just can't be done by hand for every customer in real time.
How they help?
Higher conversion: guides shoppers from browse to checkout with relevant, personalised help, turning more visits into orders.
Bigger baskets: surfaces complementary products and upgrades at the right moment, lifting average order value.
Clienteling at scale: gives every online shopper the guidance your best in-store associate would, 24/7.
Less bounce and abandonment: answers product, fit and availability questions before the shopper leaves.
Loyalty that compounds: remembers preferences and history so every visit feels personal and customers return.
Team freed up: handles routine product guidance so associates focus on high-value and in-store customers.
Key Features
Personal Shopper Agent Skills:
The Personal Shopper Agent guides each customer through discovery, recommendation and checkout, personalised to their history, preferences and live context, across web, app, chat and messaging.
Personalised product discovery and search by need, not just keywords
Tailored recommendations from history, behaviour and stated preferences
Answers product, fit, sizing and availability questions in context
Surfaces complementary items, bundles and upgrades at the right moment
Guides conversational checkout and removes friction
Recognises returning customers and personalises to their profile
Curates looks, collections and gift guidance
Hands off to a human associate for complex or high-value requests
Works across web, app, chat and messaging, 24/7
Integrations:
Product catalogue / PIM for products, attributes and availability
E-commerce platform and storefront
Customer data platform / CRM for profile, history and preferences
Inventory and stock for live availability and sizes
Loyalty system for status, points and offers
Order management for checkout and post-purchase
Safeguards:
Brand-safe: recommends only within your catalogue and merchandising rules
No invented products, prices or promotions, grounded in live data
Respects pricing and promotion governance
Privacy-aware: uses customer data within consent and policy
Human handoff for complex, high-value or sensitive requests
Full audit trail and performance tracking
Agent Information
Use case
Customer Experience
Go-live duration
4 Weeks
Category
Retail
Platform
Salesforce / Snowflake
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