ARC Liquor Vernon 58th Ave • Voice AI Sommelier Demo

“From Rib Eye Pairing to Texted Wine Picks: Sarah in Action”

How Sarah, ARC Liquor Vernon 58th Ave’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 Samy and the team.

Voice AI Sommelier Wine Pairing Call Inventory-Grounded Picks Post-Call SMS GHL Contact Record Staff Training Demo

🍷 Real Call. Real Pairing. Real Follow-Up.

This test shows Sarah responding to a customer looking for local BC red wine recommendations for rib eye steak and roast potatoes for a special occasion. Sarah understood the meal, worked within a budget of around $28, recommended two confirmed bottles, texted the picks after the call, and created a detailed internal record for the store team.

What Sarah Handled

In this test, Sarah demonstrated what ARC’s digital sommelier can do in a realistic customer-facing situation. She moved beyond a basic product lookup by understanding the meal, identifying suitable wine styles, selecting real bottles from Vernon 58th Ave inventory, and following through with a customer-ready text.

  • Pairing request captured: Rib eye steak and roast potatoes for a special occasion.
  • Budget captured: The customer stated a budget of around $28 per bottle.
  • Preference understood: The request was for local BC red wines.
  • Confirmed bottle picks: Sarah recommended two actual wines from the Vernon 58th Ave inventory.
  • Accurate pricing: Both recommendation prices matched the inventory data.
  • Post-call SMS sent: The customer received bottle names, prices, pairing notes, SKUs, and the online pickup link.
  • CRM record updated: Name, phone number, dish occasion, budget, wine fields, and the Sommelier SMS Body were captured inside GHL.
Listen to the Sarah test call:

This was a successful live-style test call. Sarah completed the pairing conversation, captured the customer details, recommended confirmed bottles, and produced a useful post-call text message.

Question Used in This Demo

“I’m having rib eye steak and roast potatoes for a special occasion. I’m looking for local BC red wines, and my budget is around $28 per bottle. What would you recommend?”

Suggested Practice Questions for Samy and Staff

  • “Can you recommend one BC white wine for salmon around $25?”
  • “What red wine would pair with burgers or grilled sausages for under $22?”
  • “I’m making mushroom risotto. I’m open to local BC or international wines. What would you suggest?”
  • “I’m putting together a charcuterie board. Should I choose red, white, rosé, or sparkling?”
  • “I need a gift bottle around $35 for someone who enjoys smooth red wines.”
  • “Can you compare one local BC bottle and one international bottle for roast lamb?”
  • “I only want one bottle for creamy pasta. My budget is around $28.”

These questions allow Samy and the team to practise different dishes, budgets, wine colours, origins, gift requests, and recommendation quantities. They can also use them to show customers how Sarah can help with everyday wine decisions.

Sarah AI Sommelier customer SMS wine recommendation for ARC Liquor Vernon 58th Ave

The customer receives a polished text with the meal, bottle recommendations, estimated prices, pairing notes, SKUs, and the Vernon 58th Ave online pickup path.

Sarah AI Sommelier internal call note in GHL

Sarah’s internal call note records the request, budget, customer details, selected bottles, prices, notes, SKUs, and the completed Sommelier SMS Body.

Why This Matters for Samy and the Vernon 58th Ave Team

Sarah gives Samy and the team another way to help customers make wine decisions when the store is busy or when a shopper wants extra pairing guidance. Successful calls like this also create the foundation for customer demonstrations, featured wine promotions, and future Sarah Shelf Talkers connected to Samy’s selected bottles.


📲 Customer Text Message Preview

The post-call SMS gives the customer a useful record of the conversation. It allows them to review the bottles, search by name or SKU, and continue toward an online pickup order with more confidence.

Sarah AI Sommelier text message with Vernon wine recommendations

This text demonstrates how Sarah turns a spoken pairing conversation into a useful customer follow-up.

SMS Recommendation Sent

Sarah sent two confirmed local BC red wine recommendations for rib eye steak and roast potatoes.

Hi Andrew — Sarah here, ARC’s Digital Sommelier 🍷 Here are some wines that pair beautifully with your meal. Pairing for: rib eye steak and roast potatoes POPLAR GROVE GEN MERLOT — est. $27.99 before taxes and deposits. A bold BC Merlot that stands up beautifully to rib eye steak. SKU: 43417 MONTE CREEK HANDS UP RED — est. $18.89 before taxes and deposits. A local red blend with enough structure for steak and roasted potatoes. SKU: 896399 Which one are you leaning toward? Order online for pickup: https://vernon58ave.armstrong.coop/?category=WINE Tip: select Wine, then search the bottle name or SKU. Prices are estimates before taxes/deposits. Final price and availability are confirmed in store or at checkout. Andrew, enjoy your rib eye steak and roast potatoes. ARC Liquor in Vernon 200-2401 58th Ave, Vernon (250) 542-3221

The first wine matched the stated budget almost exactly. The second was an accurate lower-priced value option, which has led to a further refinement in Sarah’s budget-selection guidance.


🧠 Internal Call Summary for the Team

Sarah creates a readable internal note so Samy and the store team can understand the customer’s request and see what Sarah recommended without replaying the entire call.

Internal Note Includes

  • Call start time and total call duration.
  • A plain-English call summary.
  • The rib eye and roast potato pairing request.
  • The customer’s special-occasion context.
  • The budget of around $28 per bottle.
  • The customer’s preference for local BC red wines.
  • The recommended bottle names, prices, notes, and SKUs.
  • The customer’s first name and confirmed phone number.
  • The completed Sommelier SMS Body used for customer follow-up.
GHL note showing Sarah AI Sommelier call summary and recommendation details

The note gives Samy and the team a detailed operational record of the conversation and the information Sarah extracted.


📋 Contact Fields and Recommendation Data

Sarah also updated the contact record with the customer identity, dish, budget, individual bottle fields, and the completed Sommelier SMS Body. This creates useful proof that the conversation was understood and translated into structured data.

Customer Identity

Sarah captured the caller’s first name and confirmed mobile number for the post-call text.

Sarah AI Sommelier customer identity and phone number in GHL

Pairing and Budget

The contact record stores the dish, stated budget, bottle recommendations, notes, prices, and SKUs.

Sarah AI Sommelier Digital Sommelier fields in GHL

Manager Follow-Up

Samy receives a concise summary with the customer, meal, budget, and selected wines for store awareness and follow-up.

Sarah AI Sommelier manager SMS notification

📧 Management Email and Store Visibility

The completed workflow also provides an email summary, giving the team another clear record of the customer request and the bottles Sarah recommended.

Sarah AI Sommelier manager email summary

The email version provides a readable recap of the customer, meal, pairing notes, bottle names, and prices.

Why the Internal Follow-Up Helps

  • Samy can see what customers are asking Sarah for.
  • The team can identify popular dishes, budgets, and wine preferences.
  • Recommended bottles can be compared with current merchandising priorities.
  • Repeated customer interests can support future displays and featured selections.
  • Strong recommendation examples can become training material for staff.

What We’re Refining From This Test

This was a successful and accurate call. The main refinement is budget discipline: when a customer says “around $28,” Sarah should first prioritize strong confirmed bottles closer to approximately $23 to $28. A much lower-priced bottle can still be offered, but it should be introduced clearly as a value option rather than treated as an equal budget match.


🛍️ How This Can Support Future Sarah Shelf Talkers

Once Sarah continues producing accurate and consistent calls, she can become part of Samy’s in-store wine-selling experience. Successful recommendations can support shelf talkers, featured bottles, and QR-led customer demonstrations.

Customer Education in Store

Samy and staff can invite customers to ask Sarah a short food-pairing question and then compare the response with bottles available on the shelf.

In-store use idea:

“Ask Sarah what wine goes with tonight’s dinner and compare her recommendation with Samy’s featured selection.”

Samy’s Featured Wine Selection

Future shelf talkers can connect Sarah’s pairing guidance with wines Samy wants to highlight, giving customers a stronger reason to explore the bottle and understand where it fits.

Future use idea:

“Scan or call Sarah for a quick recommendation from Samy’s hand-picked wine selection.”

✅ Test Result: Sarah Successfully Completed the Sommelier Recommendation Workflow

This test shows Sarah handling a realistic wine recommendation call for ARC Liquor Vernon 58th Ave. She understood the meal, budget, occasion, and local BC preference; recommended confirmed bottles with accurate prices; sent a useful customer text; and saved the conversation details inside GHL.

Recommended next steps:

  • Use this page as a staff training and demonstration tool for Samy and the Vernon 58th Ave team.
  • Continue testing one-, two-, and three-bottle requests across different dishes and budgets.
  • Monitor whether Sarah keeps most recommendations close to the customer’s stated target budget.
  • Introduce lower-priced bottles clearly as value options when they fall well below the target range.
  • Confirm Sarah continues to use exact bottle names, prices, notes, and SKUs from the Vernon1 wine inventory tables.
  • Use strong successful calls like this one as the foundation for future Sarah Shelf Talkers and customer wine-discovery tools.

This is the practical value of ARC’s AI Sommelier at store level: stronger wine guidance, useful customer follow-up, cleaner internal records, and another way for staff to engage customers with confidence.