“From Food Pairing to Texted Wine Picks: Claire in Action”
How Claire, ARC Liquor Revelstoke’s AI Sommelier, handles a real customer wine pairing call, recommends confirmed bottles from store inventory, sends a polished follow-up text, and records useful details inside GHL for the team.
🍷 Real Call. Real Pairing. Real Follow-Up.
This test shows Claire responding to a customer looking for wine recommendations for roast chicken with Greek salad, feta, and black olives. Claire understood the meal, selected three confirmed BC white wines close to the stated budget, texted the picks after the call, and created a useful internal record for the team.
What Claire Handled
In this test, Claire demonstrated what ARC’s digital sommelier can do in a real customer-facing situation. She moved beyond a simple product lookup and behaved like a wine guide that can help the customer discover appropriate bottles, reinforce confidence, and create a useful follow-up message.
- Pairing request captured: Roast chicken with Greek salad, feta, and black olives.
- Wine style identified: Claire recommended three BC white wines that matched the food profile.
- Budget respected: The chosen bottles were close to the customer’s stated budget of around $24 per bottle.
- Confirmed bottle picks: Claire recommended real wines from Revelstoke’s wine inventory.
- Post-call SMS sent: The customer received a clean recommendation text with bottles, notes, prices, and SKU support.
- Customer record updated: Name, phone number, dish occasion, and the recommendation summary were saved inside GHL.
This was a successful live-style test call and one of Claire’s strongest results so far. It shows how the AI Sommelier can guide a pairing conversation, make real recommendations, and follow through with a customer-ready text message.
Question Used in This Demo
Suggested Practice Questions for Jamie and Staff
- “What wine would go well with rib eye steak and roast potatoes? My budget is about $30.”
- “Can you recommend a BC white wine for salmon or halibut?”
- “I’m putting together a charcuterie board. What red or white would you suggest?”
- “What wine would pair with creamy pasta or mushroom risotto?”
- “I’m having spicy food tonight. Do you have a wine recommendation under $25?”
- “Can you suggest one local BC bottle and one international bottle so I can compare?”
These are useful examples for staff to practise with Claire and also to demonstrate to customers in-store how the AI Sommelier can help with meal-based wine decisions.
The customer receives a polished recommendation text with the pairing context, bottle names, prices, notes, and store details.
Claire’s internal call note records the pairing request, phone number, name, and the wine recommendation details from the conversation.
Why This Matters for Jamie and the Revelstoke Team
Claire gives Jamie and the team a practical way to show customers that ARC Liquor can offer informed wine guidance even when staff are busy. The better these calls perform, the easier it becomes to connect Claire to in-store education, shelf talkers, and Jamie’s featured wine selection.
📲 Customer Text Message Preview
The SMS gives the customer a useful follow-up after the call. It helps them remember the recommendations, search the bottles later, and continue their buying journey with more confidence.
This text shows how Claire turns a pairing conversation into a customer-friendly message the shopper can refer back to.
SMS Recommendation Sent
In this test, Claire sent three BC white wine recommendations that suited roast chicken with Greek salad, feta, and black olives.
Note: the screenshot captured during testing showed an earlier pickup link configuration. The live version should point to the Revelstoke online wine page as shown above.
🧠 Internal Call Summary for the Team
Claire does more than speak to the customer. She also creates a readable internal note so the store team can quickly see what the caller wanted, what Claire recommended, and what information was collected during the call.
Internal Note Includes
- Call start time and call duration.
- Plain-English summary of the customer’s request.
- The meal or dish being paired.
- The customer’s budget context.
- The wine recommendation theme and style.
- The recommended bottle names and prices.
- SKU support for product lookup.
- The customer’s first name and phone number.
- A record that the text recommendation was sent post-call.
The internal note gives Jamie and the team a quick view of the call without needing to replay the recording.
📋 Contact Fields and CRM Record
Along with the internal note, Claire updates the customer record. This helps ARC keep a usable history of the conversation and creates a cleaner hand-off between the call and future follow-up.
Customer Identity
The contact record shows that Claire successfully captured the customer’s name and working phone number.
Pairing Context Saved
The customer’s dish occasion and recommendation summary were saved so the team can see what was being paired.
Customer-Facing Follow-Up
The finished SMS shows the practical customer outcome: clear bottle suggestions with useful buying information.
What We’re Watching as Claire Improves
This was a strong successful test. Ongoing refinements include encouraging more variety across the recommended bottles when suitable alternatives are available, and keeping the question flow consistent so Claire reliably asks the preference questions we want before making her final picks.
🛍️ How This Can Support Future Shelf Talkers
Once call performance remains consistent, Claire can become part of Jamie’s in-store wine-selling experience. The next step is to connect working call examples like this one to shelf talkers and featured bottle promotions.
Customer Education in Store
Jamie and staff can invite customers to try Claire using short food-pairing questions. This helps demonstrate that ARC can provide more than shelf pricing — it can provide helpful wine guidance too.
“Ask Claire what wine goes with tonight’s dinner and compare her picks with Jamie’s featured bottles.”
Jamie’s Featured Selection
As Claire continues to perform well, her recommendations can support shelf talkers, featured producer highlights, and QR-led customer engagement around Jamie’s selected wines.
“Scan or call Claire for a quick recommendation from Jamie’s hand-picked wine selection.”
✅ Test Result: Claire Successfully Completed the Sommelier Recommendation Workflow
This test shows Claire handling a realistic wine recommendation call for ARC Liquor Revelstoke. She understood the meal, selected suitable real bottles, sent a useful text, and saved practical information inside GHL for the team to review.
Recommended next steps:
- Use this page as a staff training and demonstration tool for Jamie and the Revelstoke team.
- Continue testing Claire on seafood, steak, charcuterie, pasta, salmon, spicy dishes, and celebration occasions.
- Keep monitoring whether Claire consistently asks the full preference flow before recommending bottles.
- Encourage broader bottle diversity when the inventory supports it.
- Use strong successful calls like this one as the foundation for future Claire shelf talkers and customer-facing wine discovery tools.
This is the practical value of ARC’s AI Sommelier at store level: real wine guidance, stronger follow-up, cleaner customer records, and another way for staff to engage and help customers with confidence.