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 local red wines under $42, a smoky-spicy marinade, direct shopping links and Emily's personal follow-up.
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.
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.
Three recommendations. Three genuine shopping paths.
The first message is practical and complete; the second preserves the personal sommelier touch.
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.
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.
“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.
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.
A concise summary for the team
The dish, $42 budget, three exact wines and SMS outcome are captured without replaying the call.
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.
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
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.
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.