“From Gift Request to Grounded Wine Recommendation: Zia in Action”
How ARC’s live-chat team recognizes a customer’s wine request, provides a reassuring specialist handoff, searches store-specific inventory, recommends a confirmed bottle, and connects the customer with the Product Finder and online pickup store.
One Chat. Two Coordinated Assistants. One Clear Customer Journey.
This demonstration shows ARC’s neutral live-chat welcome desk connecting a customer with the assistant best suited to help. Tabitha recognizes the wine request and hands the conversation to Zia, ARC Vernon Square’s Conversational AI Wine Sommelier.
What the Customer Asked For
The customer was looking for a wine gift with clear preferences already supplied:
- Purpose: A wine gift.
- Style requested: Sparkling wine from a BC winery.
- Budget: Approximately $40.
- Expected outcome: One relevant bottle recommendation with practical purchase information.
The customer opens Zia’s page and sees an ARC-branded welcome message that explains how Zia and Tabitha work together.
" Welcome to Zia’s Wine Help at ARC Vernon Square. Tell us what you’re shopping for:- a meal, gift, occasion, budget, or specific bottle. We’ll connect you with Zia for wine help or Tabitha for other store products."
The open widget acts as a neutral ARC welcome desk rather than pretending that one assistant handles every type of request.
What This Test Validated
The system recognized wine intent, preserved the customer’s gift and budget details, explained the brief connection pause, routed the conversation to Zia, returned a complete store-specific product answer, supplied a low-stock warning, and gave the customer two practical ways to verify and purchase the bottle.
💬 The Live Conversation — From Welcome Desk to Wine Specialist
The complete conversation shows the customer experience in chronological order: request, personalized acknowledgement, specialist handoff, inventory search, confirmed recommendation, and a friendly closing.
The Conversation Flow
-
1
ARC welcomes the customer.
The widget explains that Zia handles wine while Tabitha handles other store products. -
2
The customer gives the full request.
Gift, sparkling wine, BC preference and budget are supplied in one message. -
3
Tabitha personalizes the handoff.
She repeats the important details and reassures the customer that the connection will take a moment. -
4
Zia becomes the active specialist.
The customer replies “Search Vernon Square Wines” to continue with Zia. -
5
Zia returns one grounded recommendation.
The answer includes the complete product facts, low-stock warning and customer-help links. -
6
The conversation closes naturally.
Zia offers continued help and keeps the tone warm and customer-friendly.
📋 A Complete, Inventory-Grounded Product Answer
Zia did not provide a vague wine suggestion. She displayed the factual product block from the Vernon Square wine inventory and kept the recommendation note separate from those facts.
A BC sparkling wine selected for the customer’s gift request.
SKU 170079 — below the customer’s stated budget.
A low-stock warning was included because the inventory snapshot showed four bottles.
Facts Displayed to the Customer
- Product name
- Bottle size
- Price before applicable taxes and deposits
- Wine category
- SKU
- Inventory snapshot date
- OnHand quantity
- Low-stock warning
- Online pickup instructions
- Product Finder link
- Vernon Square store telephone number
Recommendation Note
After the factual product block, Zia added one concise and approachable reason for the recommendation:
The recommendation note is kept separate so it cannot alter the exact inventory facts.
🔎 Product Finder Verification
The Vernon Square Product Finder independently confirms the same product name, price, SKU and weekly inventory snapshot used in Zia’s answer.
Product Finder proof: Intrigue Sparkling, 750 ml, $26.99, SKU 170079, with four showing OnHand in the June 19 snapshot.
🛒 Live Online Store Verification
The online store shows the same bottle and price while providing the most current purchasing availability. This gives the customer a direct route to secure the product for pickup.
Live store proof: Intrigue Sparkling at $26.99, with current online availability shown separately from the weekly snapshot.
Why Two Availability Views Matter
Zia correctly distinguishes between two useful sources:
- Weekly inventory snapshot: Used for grounded conversational guidance and consistent product facts.
- Live online store: Used for the most current purchasing availability and pickup ordering.
Because the weekly snapshot showed low stock, Zia advised the customer to call before travelling or use the online store where possible.
Why This Matters for ARC
Zia connects personalized wine guidance with store-specific inventory, the Product Finder, online pickup and direct store support. The result is a more confident customer, a clearer route to purchase and fewer uncertain product answers.
What Happened Behind the Scenes
The customer saw one coherent ARC experience, but the system coordinated several specialized components to deliver it.
1. Neutral ARC Welcome Desk
The ARC logo and shared welcome message avoid confusing the customer about which assistant is currently speaking.
2. Intent Recognition and Routing
Tabitha identifies wine intent, preserves the customer’s details and triggers the workflow that assigns Zia.
3. Specialist Wine Assistance
Zia handles pairings, gifts, occasions, budgets, wine education and exact wine product searches.
4. Store-Specific Product Data
Exact product facts come from the Vernon Square wine table, not from memory, general web content or another ARC location.
5. Customer Purchase Path
The response supplies the Product Finder, online pickup store and Vernon Square phone number.
6. Two-Way Assistant Handoff
If the customer changes to beer, spirits, coolers, cider or another product, the conversation can route back to Tabitha.
Zia Becomes the Conversational AI Gold Standard — Version 2
This implementation builds on Grace’s original Glenmore model and adds a neutral ARC widget, personalized handoff language, reassurance during the connection pause, specialist workflows in both directions, and clearer separation between the customer-facing widget and the active assistant.
📍 Rollout Across the ARC Sommelier Team
The Vernon Square model can now be adapted store by store while preserving each location’s inventory, Product Finder, online-store link, phone number and manager handoff.
Test Result: Zia Successfully Completed the Conversational AI Sommelier Journey
This test demonstrates a practical, customer-facing system rather than a stand-alone chatbot. ARC’s welcome desk recognized the request, Tabitha personalized the connection, Zia provided a grounded recommendation, and the customer received the information needed to verify and purchase the bottle.
What the demonstration proves:
- Wine intent can be recognized and routed to the correct specialist.
- The customer’s purpose, preferences and budget can be preserved during the handoff.
- Exact product facts can remain grounded in one store’s inventory.
- Low-stock warnings can protect the customer from unnecessary travel.
- The Product Finder and online store can support the recommendation with visible proof.
- The same architecture can be scaled across ARC’s remaining Sommelier locations.
This is the practical value of ARC’s Conversational AI Sommelier: personal wine guidance, accurate inventory information and a direct path from conversation to purchase.