“From Dinner Pairing to Texted Wine Picks: Grace in Action”
How Grace, ARC Liquor Glenmore’s AI Sommelier, handles a real wine pairing call, asks for budget and wine preference, recommends confirmed bottles, sends a customer-friendly SMS, and updates the customer record inside GHL.
🍷 Real Call. Real Pairing. Real Customer Follow-Up.
This test shows Grace responding to a customer looking for wine recommendations for spaghetti carbonara with crispy bacon. Grace captured the pairing request, confirmed the customer’s budget, recognized the preference for local BC wines, recommended three confirmed bottles, and sent a polished recommendation text after the call.
What Grace Handled
In this test, Grace moved beyond a simple product lookup. She acted like a digital sommelier by asking the right questions, selecting wines that fit the meal and budget, and sending the customer a useful text with prices, SKUs, and the online pickup link.
- Pairing request captured: Spaghetti carbonara with crispy bacon.
- Budget captured: Customer specified a $30 budget.
- Preference captured: Customer asked for local BC wines.
- Three wine picks selected: Bottles were chosen from Glenmore wine inventory data.
- SMS sent: Customer received wine names, prices, notes, SKUs, and pickup link.
- CRM updated: GHL contact fields and call notes were populated automatically.
Note: the audio was cut short because the test phone battery died near the end of the call. Before the cut-off, Grace had already completed the core recommendation and SMS workflow successfully.
The customer receives a clean SMS with three wine recommendations, prices, SKUs, pairing notes, and the online pickup link.
Grace’s internal call note records the summary, budget, dish, wine picks, SKUs, customer preference, and phone number.
What We’re Improving From This Test
This was one of Grace’s strongest tests so far. Two small refinements were identified: reducing the pause after asking whether the customer preferred BC or international wines, and encouraging more variety so Grace avoids offering two wines from the same winery when strong alternatives are available.
📲 Customer Text Message Preview
The SMS is designed to be useful after the call. It gives the customer enough information to review the recommendations, search by bottle name or SKU, and place an online pickup order if they want to guarantee their chosen bottle.
The text recommendation includes the pairing context, wine names, estimated prices, SKUs, online order link, and ARC Liquor Glenmore contact details.
SMS Recommendation Sent
Grace sent the customer three local BC wine recommendations for spaghetti carbonara with crispy bacon, all under the stated $30 budget.
The text format is customer-friendly, specific, and gives the customer a clear next step.
🧠 Internal Call Summary for the Team
Grace does more than speak to the customer. She saves a structured internal note so the ARC team can quickly understand what happened during the call without needing to replay the audio.
Internal Note Includes
- Call start time and call duration.
- Plain-English call summary.
- Customer’s pairing request.
- Budget range.
- Preference for local BC wines.
- Selected wine names.
- Estimated prices.
- SKUs for customer search and pickup ordering.
- Customer name and phone number.
- Contact preference set to text.
The internal note gives the team a clear summary of the call and the fields Grace extracted during the conversation.
📋 Contact Fields Updated Automatically
The customer profile is updated with the recommendation details. This gives ARC a record of what the customer asked for, what Grace recommended, and how the customer wanted the information sent.
Wine Recommendation Fields
Grace populated Wine 1, Wine 2, Wine 3, notes, prices, and SKUs so the recommendation can be reviewed later.
Customer Preference Data
The call note captured that the customer wanted local BC wine recommendations under $30 for carbonara.
Customer SMS Proof
The finished SMS gives the customer a polished follow-up with the bottle details and online pickup path.
Why This Matters
Grace turns a wine recommendation call into structured customer data. That means better service, clearer follow-up, improved product discovery, and a stronger connection between ARC’s inventory, online pickup experience, and customer conversations.
🔧 Refinements Identified During Testing
Every test helps improve the system. This call was a strong result, but it also showed two areas where Grace can become even more natural and more useful.
Reducing the Long Pause
After Grace asked whether the customer preferred local BC, international, or a mix, there was a longer pause than ideal. The prompt has been adjusted so Grace now acknowledges the answer quickly before searching inventory.
Grace will now use a short bridge line such as: “Perfect — one moment while I check actual Glenmore bottles that fit.”
Improving Bottle Variety
Grace recommended two wines from Dirty Laundry. Both were appropriate local BC options, but ARC has a large wine selection, so the prompt has been adjusted to encourage better variety across producers when suitable alternatives are available.
Grace should avoid recommending more than one bottle from the same producer unless those are clearly the strongest confirmed matches.
✅ Test Result: Grace Successfully Completed the Sommelier Recommendation Workflow
This test shows Grace handling a realistic wine recommendation call for ARC Liquor Glenmore. She collected the dish, budget, wine preference, customer name, and mobile number; selected confirmed wines; sent a useful recommendation text; and saved the details inside GHL.
Recommended next steps:
- Continue testing common food pairings such as steak, salmon, seafood pasta, charcuterie, spicy food, and holiday meals.
- Monitor whether Grace consistently asks for budget before recommending bottles.
- Confirm she asks the BC, international, or mix question when it improves the recommendation.
- Check that SKUs and prices always come from confirmed Glenmore wine inventory tables.
- Watch for repeated wineries and continue encouraging variety across producers.
- Keep the SMS format because it is clear, useful, and customer-friendly.
This is the practical value of ARC’s AI Sommelier: better wine guidance, stronger follow-up, cleaner customer records, and a smoother path from phone call to online pickup.