Dashmote with Google Gemini: outlet and delivery data for Gemini agents
Dashmote with Google Gemini lets Gemini CLI, and agents built with Google's Agent Development Kit (ADK) or on Vertex AI, answer from Dashmote's outlet, menu, price and delivery app data, covering 60+ countries. These Google tools connect to MCP servers and APIs, Dashmote offers both, and our team sets up the connection for your workspace.
The trusted intelligence layer for teams selling to Hospitality & Retail
What Gemini agents can do with Dashmote data
Teams on Google Cloud often build their own agents on Gemini models, with Google's Agent Development Kit or on Vertex AI, and developers use Gemini CLI, Google's command-line assistant, in their daily work. With Dashmote data behind them, those agents can answer the questions that drive delivery and foodservice sales:
- Delivery digital shelf: listings, prices and availability of your brand and competitors, by platform and city.
- Outlets and menus: what an outlet serves, which brands appear on its menu and whether it sells through delivery.
- Monitoring: an agent that checks the latest refresh and flags where listings or prices moved.
- Briefs and summaries: account reviews and visit briefs written from the data.
Every answer comes from the same licensed data as DashONE and DashLeads, with the refresh month it comes from.
Use cases by team
Digital shelf agent. A Gemini agent that reviews each new refresh and writes a short note on where listings, prices or availability changed, by platform and city.
Pricing analyst. Ask a Gemini agent to compare the price of a product across platforms and cities and to flag the outliers worth a look.
Key account manager. Ask which outlets of a chain list your range on each delivery app and where a competitor holds the spot.
Field sales rep. Ask which outlets to visit first in a territory, what each one serves and whether it is on a delivery app.
Data and AI team. Teams that build on Google Cloud, with ADK or on Vertex AI, can add Dashmote data to their own agents and reports through our API or MCP server, and developers can work with it in Gemini CLI.
Questions for your Gemini agent with Dashmote data
eCommerce and digital shelf managers look after how the brand shows up on delivery apps. They want to know where the brand is listed, at what price, whether it is in stock and how that compares with competitors, by platform and by city.
- 'Which noodle restaurants in this city list a competitor's iced tea but not ours on delivery apps?'
- 'What does a large fries cost on each delivery platform in this market?'
- 'Which platforms show our brand marked unavailable most often this month?'
- 'Write a short note on what changed in our delivery shelf since the last refresh.'
Field sales reps and key account managers look after outlets. They want to know which outlets to visit, what each one already serves, whether it is on a delivery app, and which accounts have the biggest gap to close.
- 'Which restaurants in my territory do not serve our sparkling water yet?'
- 'What does this outlet serve, and which delivery apps is it on?'
- 'Which outlets should I visit first this week, and what should I pitch at each?'
Follow-up questions keep the filters of the question before, so you can narrow a list in a few turns: 'only independents', 'now only the ones on two apps', 'sort by rating'.
Example: a shelf analyst agent
A data team on Google Cloud builds a shelf analyst agent on a Gemini model and, with our team, connects it to Dashmote data for its markets. When a new refresh lands, the agent compares listings and prices with the month before and writes a short note for the eCommerce team: the cities where listings dropped, the platforms where prices moved and the chain accounts behind the change.
The eCommerce manager reads the note, asks the agent two follow-up questions and forwards the result to the account team. Every figure carries its refresh month.
Getting Dashmote into Gemini, set up with you
Gemini CLI and agents built with Google's ADK or on Vertex AI can connect to MCP servers and APIs, and Dashmote offers both. You do not need to configure anything yourself: our team sets up the connection for your workspace and runs the first questions with you. Working in another Gemini surface? Ask us about other Gemini surfaces.
- Tell us who will use it and what they need to answer, for example a digital shelf review or visit planning.
- We agree the scope of markets, platforms and data your licence covers.
- We connect your Gemini agent or Gemini CLI with you through our API or MCP server and check the first answers together.
- Your team starts asking, and we help you add more people or more tools later.
Governance in plain words
Connecting an AI tool does not widen what anyone can see. The connection is set up for your Dashmote workspace, so it reaches only the markets, platforms and data your licence covers, and nothing else.
- Licensed data only: the assistant answers from the Dashmote data your company has licensed, not from the open web and not from other customers' workspaces.
- Scoped per workspace: your admin decides which teams use the connection, and every answer stays inside your workspace's scope.
- Dated answers: every answer carries the refresh month it comes from, so a number in a chat can be traced back to the same refresh you see in DashONE.
- Clear definitions: an outlet is a physical venue and a storefront is its listing on one delivery app. The assistant keeps the two apart, so counts are not mixed up.
Frequently asked questions
Can Google Gemini use Dashmote data?
Today Dashmote works with Gemini CLI and with agents built on Gemini models with Google's Agent Development Kit (ADK) or on Vertex AI, through our API or our MCP server. Our team sets up the connection for your workspace. Ask us about other Gemini surfaces.
Do we need to build an agent first?
Not always. Developers can start with Gemini CLI. For business teams, an agent built with ADK or on Vertex AI is the usual route, and we help you choose the simplest way to bring Dashmote data into it.
What can a Gemini agent answer with Dashmote data?
Questions about outlets, menus, prices and delivery app listings: where your brand is listed, at what price, what an outlet serves and which outlets to visit first.
Can everyone see all Dashmote data?
No. The connection is scoped to your workspace and your licence, so people see only the markets, platforms and data your company has licensed.
Does it work with other AI tools too?
The same approach works today with Claude Code, Claude Desktop, Claude for Team and Enterprise, GitHub Copilot, Copilot Studio agents, agents built on OpenAI models, and anything that calls our API.
The business case for a Google Cloud team
Why give Gemini agents Dashmote data:
- Build on the stack you chose: agents on Gemini models, built with ADK or on Vertex AI, get foodservice data without a separate data pipeline.
- Grounded answers: dated outlet, menu and delivery app records replace guesses from the open web.
- Same numbers everywhere: Gemini reads the same data as DashONE and DashLeads.
- Governed access: the connection is scoped to your workspace and your licence.