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.

3verified local recommendations
3direct bottle pages opened correctly
6structured wine and pairing fields populated
83active wines in the verified Harvey foundation
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.

01

Ask naturally

“Three local reds for grilled lamb, under $42.”

02

Compare confidently

Emily supplies exact names, prices, SKUs and concise pairing reasons.

03

Refine personally

A smoky-spicy red-wine marinade helps identify the strongest fit.

04

Shop directly

Each recommendation links to its own Barnet ecommerce product page.

Customer proof

Three recommendations. Three genuine shopping paths.

The first message is practical and complete; the second preserves the personal sommelier touch.

Emily's recommendation SMS showing three verified wines with correct prices, SKUs and direct product links
Text 1 · Verified choices

Every bottle becomes immediately actionable.

Bordertown Cabernet Franc, Summerhill Organic Cabernet Franc and Priest Creek Gold Rush Cabernet Sauvignon each arrive with accurate product details and a direct route to purchase.

Emily's second SMS selecting Summerhill Organic Cabernet Franc as her personal pick
Text 2 · Personal pick

Helpful technology still feels personal.

Emily uses the caller's marinade detail to select Summerhill Organic Cabernet Franc and explain why it is the strongest fit.

Leadership takeaway
“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.

AI Call Summary listing the dish, budget and three verified wine recommendations
Readable context

A concise summary for the team

The dish, $42 budget, three exact wines and SMS outcome are captured without replaying the call.

Digital Sommelier contact fields populated with Wine 1, Wine 2, Wine 3 and pairing notes
Structured intelligence

The blank fields now have purpose

Three wine names and three pairing-note fields populate automatically, turning an unstructured conversation into data ARC can use.

Customer value and business value

One improvement creates benefits on both sides of the counter.

For the customer

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
For ARC

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.

VOICE

Proven today

Conversational recommendations, direct shopping links and structured post-call fields.

CHAT

Next demonstration

The same verified recommendations and direct product links, delivered visually and at the customer's pace.

SCALE

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.