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Getting more sales analytics manpower with AI w/ Jeremy Hart, Somm.ai
The on-premise side of wine analytics has traditionally been a black hole, not covered by other data services. Somm.ai changed that when they launched in 2021, now covering ~100k on-premise accounts in the US alone. The...
About This Episode
Getting more sales analytics manpower with AI w/ Jeremy Hart, Somm.ai is an episode from XChateau Wine Podcast by Robert Vernick. The on-premise side of wine analytics has traditionally been a black hole, not covered by other data services....
This episode belongs to XChateau Wine Podcast.
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Published Apr 14, 2026, 38:21 long, audio available.
Questions About This Episode
What is Getting more sales analytics manpower with AI w/ Jeremy Hart, Somm.ai about?
The on-premise side of wine analytics has traditionally been a black hole, not covered by other data services. Somm.ai changed that when they launched in 2021, now covering ~100k on-premise accounts in the US alone. The richness of data allows Somm.ai to help their clients benchmark, prospect for new accounts, and so much more. Jeremy Hart, Co-Founder and Chief Strategy Officer of Somm.ai , explains how it is more manpower vs a platform to accelerate on-premise sales. Detailed Show Notes: Jeremy’s background: restaurants, wholesale, importing TX became a major wine market during ‘08 Global Financial Crisis; it took the allocations from NY and CA Somm.ai founding: end of 2019 was originally an app for people to find restaurants with wines they wanted to drink; during the pandemic (2020) pivoted to turning restaurant wine lists into retail shops (sold ~$700k of wine); did some smart menus; 2021 launched current iteration of on-premise sales analytics Categorizes restaurants, bars, & hotels in US (100k accounts), Canada, Europe (6 countries, Germany largest w/ 3k accounts), Singapore; data updated every 2 weeks Jackson Family is longest client - w/ NBA partnership, Somm.ai developed target lists around NBA stadiums to sell into ~70 clients of all sizes (many large suppliers, e.g. - Terlato, Vintus, Concha y Toro, wholesalers, importers) General use cases include: Benchmarking vs peers (accounts, placements) Prospecting and lead generation (can see accounts that other distributors cover) Identify brand extensions Help with pricing Identifying sales pitches for national accounts ROI Some clients have moved up a lot in benchmarking ranks Save money on travel, focused on the right markets Can save manpower Pricing ~$30-70k/year avg, includes unlimited training and unlimited seats, US and Canada (other geographies are an upcharge) Product roadmap - expanding to more geographies, which can be temporary exclusivity for early partners Hosted on Acast. See acast.com/privacy for more information.
Where can I listen to Getting more sales analytics manpower with AI w/ Jeremy Hart, Somm.ai?
You can listen to Getting more sales analytics manpower with AI w/ Jeremy Hart, Somm.ai online on Radio and Podcast. Open the player on this page to stream the available audio.
Which podcast is Getting more sales analytics manpower with AI w/ Jeremy Hart, Somm.ai from?
Getting more sales analytics manpower with AI w/ Jeremy Hart, Somm.ai is an episode from XChateau Wine Podcast by Robert Vernick.
How long is this episode?
This episode is 38:21 long.
When was this episode published?
This episode was published on Apr 14, 2026.
Can I save Getting more sales analytics manpower with AI w/ Jeremy Hart, Somm.ai for later?
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Are there related episodes from XChateau Wine Podcast?
Yes. This page shows related episodes from XChateau Wine Podcast when more episodes are available from the podcast feed.
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Where can I listen to Getting more sales analytics manpower with AI w/ Jeremy Hart, Somm.ai?
You can listen to Getting more sales analytics manpower with AI w/ Jeremy Hart, Somm.ai on this page when the episode audio is available from the podcast feed.
Which podcast is this episode from?
Getting more sales analytics manpower with AI w/ Jeremy Hart, Somm.ai is from XChateau Wine Podcast by Robert Vernick.
What are the episode details?
Published Apr 14, 2026 and 38:21 long