🍷🦞 Case Study – “Scallops & Lobster Tails”: From Pairing Advice to Fast Checkout (SKU Search)


Channel: Live Chat with Grace, ARC’s AI Sommelier (Glenmore / Hillside Plaza) • Topic: Wine Pairing + Availability + Purchase Path • Goal: Turn a food pairing request into a low-friction online purchase using SKU + store e-commerce link





1) What the Customer Asked

  • A customer asked Grace for wine recommendations to pair with: scallops and lobster tail.
  • This is a perfect “high-intent” scenario: the customer is already planning a meal and needs a bottle that fits it.

2) What the AI Delivered (Customer-Facing)

Grace responded with three pairing options, each including:

  • product name
  • price
  • a short pairing reason (simple, food-first language)
  • and crucially: SKU numbers for each option

Grace then provided:

  • the Glenmore e-commerce link, and
  • a simple instruction for fast purchasing: “Paste the SKU into the site search bar for the fastest checkout.”
  • This reduces the customer’s steps to: Open site → paste SKU → add to cart.


3) Proof It’s Accurate (Back-End Validation)

We validated that each recommended bottle’s:

  • price matches the inventory snapshot
  • and the system is pulling from the correct store’s data set
  • This is important because it demonstrates the bot is not “guessing” — it’s pulling from the same structured inventory snapshot the store relies on.

4) Staff Benefit: Clean Internal Handoff Summary

The workflow also generates an internal summary message for staff (if needed), showing:

  • the customer name + phone
  • their meal context
  • the recommended products (in a neat list)

Result: if a human needs to step in, they inherit context immediately — no “start over” conversation.



6) Notes on Inventory Accuracy

As always, pricing/availability reflects the most recent inventory update (typically Friday). The e-commerce site remains the most accurate real-time check.





Scallops and Lobster Tails. Press play to listen





Our new reformatted message that includes a sku reference to insert into the 'Search' tab of the store's e-commerce website that the customer receives via text.

Management Summary (Conversion Upgrade)

This case study shows the SKU workflow working in a higher-intent, premium scenario: a customer requesting wine pairings for scallops and lobster tail. Previously, even with strong recommendations, the “last mile” to purchase still depended on the customer manually finding the correct bottle on the e-commerce site. We’ve now enabled a SKU-based shortcut inside the customer text: the sommelier sends the store e-commerce link plus each recommended product’s SKU, allowing the customer to paste the SKU into the site search bar and pull up the exact product instantly. This reduces friction, speeds checkout, strengthens the customer experience, and directly supports our goal of increasing e-commerce sales — while remaining scalable across all stores and assistants (chat, voice, and sommelier follow-ups).





This is the “last-mile” problem:

Even when the recommendation is perfect, a link-only checkout path still relies on the customer to search correctly — and on a phone, that’s where people bail out. Misspellings, similar product names, and multiple sizes create hesitation.



This fixes it:

The bot now gives the store link and the SKU for each recommended bottle. The customer pastes the SKU into search, sees the exact product, and can purchase in seconds. It feels effortless — because it is.

image of the chat conversation the AI sent to the customer.






image of the chat conversation the AI sent to the customer.

image of the chat conversation the AI sent to the customer.

image of the chat conversation the AI sent to the customer.






screenshot of the ARC ecommerce website, highligting the correct sku number for 'Church Viognier'




📌 What This Means for ARC Liquor


This upgrade strengthens three goals at once:

Customer experience: Grace doesn’t just recommend wines — she makes purchasing effortless by including the store link + SKU, so customers can paste one number and land on the exact bottle fast.

Operational clarity: Recommendations are tied to the Friday inventory snapshot (price + on-hand), reducing back-and-forth and preventing unnecessary “can you hold this?” style follow-ups.

E-commerce conversions: We’ve reduced the “last mile” friction from multiple steps (search/spelling/size confusion) to a simple path: open site → paste SKU → add to cart.

Bonus: this also scales to Voice AI + Sommeliers.
The same SKU approach can be applied to our Voice Assistants and AI Sommeliers using a post-call SMS:

  • the voice agent confirms the meal context and recommends 2–3 pairing options
  • confirms the caller’s mobile number
  • sends a follow-up text with the store link + Search SKU for each bottle
  • So voice calls don’t just “suggest” pairings — they deliver a clear, fast next step toward checkout.