ARC Liquor Harvey · Leadership Demonstration 2
From conversation to checkout.
Emily now does more than recommend a bottle. She verifies the choices, explains the fit, sends each customer directly to the correct product page and leaves ARC with a structured record of the conversation.
Three verified wines
Direct product links
Correct price and SKU
Structured CRM fields
Smoother SMS handoff
Latest voice proof
Listen to the grilled-lamb validation call
Three local red wines under $42, a smoky-spicy marinade, direct shopping links and Emily's personal follow-up.
What changed since Tuesday
The gaps are becoming a connected retail journey.
Tuesday proved that Emily could hold a thoughtful wine conversation. Today proves she can carry that conversation into shopping, follow-up and usable customer data.
Capability
Tuesday's demonstration
Today's result
Shopping destination
A general Harvey wine-category page
A direct Barnet product page for every recommended bottle
Structured CRM record
Dedicated Wine and Note fields remained blank
Wine 1–3 and Note 1–3 populate after the call
SMS transition
A visible processing pause interrupted the flow
Emily sets a natural expectation while the text is prepared
Recommendation depth
Two verified choices demonstrated
Three accurate wines with price, SKU and pairing logic
Customer experience
The recommendation now ends somewhere useful.
A customer can move from a spoken question to an informed choice and then directly to the exact bottle—without searching the catalogue again.
Ask naturally
“Three local reds for grilled lamb, under $42.”
Compare confidently
Emily supplies exact names, prices, SKUs and concise pairing reasons.
Refine personally
A smoky-spicy red-wine marinade helps identify the strongest fit.
Shop directly
Each recommendation links to its own Barnet ecommerce product page.
Customer proof
The proof is now visible from call to product page.
One complete view shows the finished call, all three verified recommendations and three direct shopping links. The follow-up then narrows the choice with a distinctly personal sommelier recommendation.
Text 1 · Complete shopping handoff
Three recommendations customers can act on immediately.
The customer receives Bordertown Cabernet Franc, Summerhill Organic Cabernet Franc and Priest Creek Gold Rush Cabernet Sauvignon in one clear message—each with the correct price, SKU, pairing context and its own Barnet product-page link.
- Verified: recommendations stay grounded in the Harvey wine foundation.
- Specific: the details needed to compare bottles arrive together.
- Shoppable: every link opens the exact recommended product, removing another search step.
Click-through proof · Exact product
From recommendation to the exact bottle.
One click opens the recommended Bordertown Cabernet Franc product page. The customer can confirm the bottle, price and SKU immediately and continue toward purchase without searching the catalogue again.
- Product
- Bordertown Cabernet Franc
- Price
- $22.99
- SKU
- 237266
The details in Emily's text match the ecommerce destination—closing the gap between advice and action.
Text 2 · Personal sommelier follow-up
Convenience does not replace judgment.
Emily remembers the smoky-spicy red-wine marinade, chooses Summerhill Organic Cabernet Franc and explains the pairing in a short second message. The result feels considered, not transactional.
Customer outcome
Less searching, greater confidence and a recommendation worth returning to later.
“The breakthrough is not that Emily can talk about wine. It is that verified advice can now become a measurable retail service.”
One experience supports the customer before, during and after the recommendation.
Operational proof
The conversation becomes useful ARC data.
The same interaction that helps the customer now leaves behind a readable summary and structured fields that can support follow-up, reporting and future personalization.
Readable at a glance
The team gets the outcome without replaying the call.
A concise note records the customer's grilled-lamb occasion, $42 budget, all three verified wines and confirmation that the recommendation text was sent.
Dish
Budget
3 wines
SMS sent
Detailed evidence
A durable record of what Emily did.
The detailed automated note preserves call timing, duration, customer intent, the verified recommendations, the final personal pick and the pairing notes—giving ARC a practical review trail.
Structured intelligence
The once-blank fields now become useful data.
Wine 1–3 and Note 1–3 populate automatically inside the contact record. ARC can now see both what was recommended and why—creating a foundation for follow-up, reporting and future personalization.
From conversation to intelligence
The customer experiences a helpful sommelier. ARC receives structured evidence of demand, budget, product interest and recommendation logic—without adding manual work for the store team.
Customer value and business value
One improvement creates benefits on both sides of the counter.
Less effort. More confidence.
- Natural guidance based on food, preference and budget
- Accurate prices and product identifiers
- No second search to find the recommended bottle
- A personal recommendation they can revisit later
A repeatable service capability.
- Verified recommendations grounded in Harvey's curated data
- A direct bridge between advice and ecommerce
- Structured contact intelligence for reporting and follow-up
- A foundation that can be adapted across stores and channels
ARC's technology position
One verified foundation. Two customer channels.
Today's evidence is the Voice experience. The same verified product-link and customer-data architecture is designed to support Chat, which will be demonstrated separately in Demo 3.
Proven today
Conversational recommendations, direct shopping links and structured post-call fields.
Next demonstration
The same verified recommendations and direct product links, delivered visually and at the customer's pace.
The wider opportunity
A Harvey pilot that can become a repeatable blueprint for ARC's other locations.
Progress readout
Tuesday showed potential. Today shows a working system.
There will always be refinements to conversation wording and data capture, but the essential retail journey is now operating: understand, verify, recommend, send, shop and record.