Customer Intelligence
“What’s best for me?” Does your agent know who’s asking?
Your catalog knows what you sell, but the agent on your website usually doesn’t know who it’s talking to. Customer Intelligence tells it: new or returning, loyalty tier, past orders and returns, stated preferences and eligible offers. Every answer is then for that customer.
Context fromCRMLoyaltyOrdersReturnsOffers
Assistant · yourstore.com
Maya · signed in
Goldbuys Noir 50ml · every ~60 dayslast order · 58 days ago
customer context · none
What’s best for me?
Happy to help! Here are this week’s bestsellers. What kind of scents do you usually like?
Welcome back, Maya. You’re nearly out of Noir 50ml. As a Gold member, delivery is free and it would arrive Thursday. Shall I reorder it?
FloralWoodyBestsellers
Reorder Noir 50mlTry the 100ml
The gap
Your agent knows the cart. It doesn’t know the customer.
Your CRM, loyalty and order systems already know who this is. The assistant on your site usually can’t use any of it, so a loyal customer gets the same answer as a first-time visitor.
Your data → your site agent
- CRMMaya · since 2023
- LoyaltyGold tier
- Orders18 × Noir 50ml
- Returns0 in 12 months
- Offersfree express
Site agentknows · the cartknows · Maya
“Here are this week’s bestsellers.”“Time for your Noir refill? Free express, arrives Thursday.”
Context stuck in five systemsSyntasa resolves identity, applies governance, streams context
Where agents go wrong
You already know these customers. Your agent treats them like strangers.
You already know18 orders · Noir 50mllast order · 58 days ago
Your agent today
“What kind of scents do you usually enjoy?”
With Syntasa
“Time for your Noir refill? I can reorder it in one tap.”
Cost of getting it wrong: a routine reorder turns into browsing, or a switch to another brand.
You already knowtier · Goldperk · free express
Your agent today
“Standard delivery takes 5–7 business days.”
With Syntasa
“Express delivery is free for Gold members. It arrives Thursday.”
Cost of getting it wrong: your best customer buys the carry-on somewhere else.
You already knowreturns · 2reason · too wide
Your agent today
“You’ll love our Oversized Round!”
With Syntasa
“Try the Petite Cat-Eye. It’s 8mm narrower than your last pair.”
Cost of getting it wrong: a third return, and a customer who stops trusting your recommendations.
You already knowcart abandons · 2eligible · VIP 15%
Your agent today
“Sorry, there are no promotions right now.”
With Syntasa
“Your VIP 15% applies to this bag. Want me to add it?”
Cost of getting it wrong: an offer she was already eligible for goes unused, and so does the sale.
You already knowskin · sensitivetold agent · 7 days ago
Your agent today
“Top pick for you: Retinol 1% Night Serum.”
With Syntasa
“For sensitive skin, the Barrier Repair Cream is a gentler choice.”
Cost of getting it wrong: a skin reaction, a return and a lost customer.
How it works
It knows who it’s talking to before it replies.
- 01The customer asksIn the assistant on your site, in their own words.
- 02We recognize themNew or returning, signed in or not, matched against the customer data you already own.
- 03We add the contextTier, orders, returns, preferences and eligible offers, delivered in real time under your governance rules.
- 04It answers for themThe right product, offer and delivery promise for this customer.
See it with your customers
You already know your customers. Now your agent will too.
We’ll show you how your site assistant would answer five of your real customers, with and without their context.
- ✓Five of your real customer moments, answered with and without context
- ✓Which of your systems hold the context your agent is missing
- ✓How it runs in your own cloud, under your governance rules
✓ Request received
Thanks — we’ll be in touch shortly.
Want to lock in a time now? Book a demo and we’ll bring your customer walkthrough.
Keep reading
InsightFrom data to action: how agentic AI unlocks real-time customer intelligenceRead →InsightAI that works across the entire customer lifecycleRead →ToolAgentic Commerce Readiness Check — score your store in two minutesRead →NextProduct Intelligence — see what AI shopping agents understand about your PDPsRead →