Dashmote with ChatGPT and OpenAI models
Dashmote brings outlet, menu, price and delivery app data, covering 60+ countries, to the agents and apps your company builds on OpenAI models, the same family of models behind ChatGPT. Assistants built with OpenAI's Responses API or Agents SDK can read Dashmote data through our API or MCP server, and our team sets up the connection with you.
The trusted intelligence layer for teams selling to Hospitality & Retail
What your OpenAI-built assistant can do with Dashmote data
Many teams already write, summarise and think out loud with ChatGPT, and more of them now build their own assistants and agents on OpenAI models. With Dashmote data behind such an assistant, it can answer the questions that matter for selling into foodservice and on delivery apps:
- Delivery digital shelf: where your brand is listed, at what price and with what availability, by platform and city.
- Competitor view: which outlets list a competitor's product instead of yours, and on which apps.
- Outlet profiles: what an outlet serves, its menu brands and whether it sells through delivery.
- Ready-to-use writing: account summaries, visit briefs and review notes drafted from the data.
Answers come from the same licensed data as DashONE and DashLeads, each with the refresh month it comes from.
Use cases by team
eCommerce manager. Ask the team's assistant for this month's listing gaps on each delivery platform and a short summary for the weekly team update.
Revenue growth or pricing manager. Compare the price of a product across platforms and cities, and ask the assistant to point out the outliers.
Key account manager. Ask which outlets of a chain account do not list your range on a delivery app, then ask the assistant to turn that into an agenda for the next account meeting.
Field sales rep. Ask which outlets in your area fit the target profile, what they serve and which to see first, and get a one-paragraph brief per visit.
Your own AI team. Developers building agents on OpenAI models, with OpenAI's Responses API or Agents SDK, give those agents the same Dashmote data through our API or MCP server.
Questions for your assistant built on OpenAI models
These are questions an agent or assistant your team builds on OpenAI models can answer 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 pizza restaurants in this city list a competitor's cola but not ours on delivery apps?'
- 'What does our bottled soft drink cost on each delivery platform in this market?'
- 'Which cities have the most listings of our brand marked unavailable this month?'
- 'Summarise our delivery shelf in this country in five bullet points.'
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 independent cafes in my territory do not serve our coffee yet?'
- 'Write a short brief for my visit to this outlet: what it serves and where it sells.'
- 'Which outlets on my list are on a delivery app but do not list our drinks?'
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: preparing an account meeting
A key account manager has a quarterly meeting with a burger chain on Thursday. In the sales assistant his company built on OpenAI models, he asks which of the chain's outlets list his soft drinks on each delivery app in the capital. The answer shows the outlets where his drinks are missing on one platform but present on another. He asks for the same view in two more cities, then asks the assistant for a one-page agenda with the three biggest gaps.
The agenda arrives with every figure dated to the latest refresh. He walks into the meeting with facts the chain can check, not impressions.
Getting Dashmote into your OpenAI agents, set up with you
With OpenAI's Responses API and Agents SDK, the agents and apps your company builds on OpenAI models can connect to MCP servers and call APIs, and Dashmote offers both. You do not need to configure anything on the Dashmote side yourself: our team sets up the connection for your workspace and runs the first questions with you. If you want Dashmote in the ChatGPT app itself, ask us about connecting it for your workspace.
- 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 OpenAI-built agent or app 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 I use Dashmote in ChatGPT?
Through OpenAI's API and agent tools today; ask us about connecting the ChatGPT app for your workspace. Agents and apps built on OpenAI models, with OpenAI's Responses API or Agents SDK, read Dashmote data through our API or MCP server.
Do we need developers to set it up?
Someone owns the agent or app on the OpenAI side, usually your developers or AI team. Our team sets up the Dashmote connection with them and checks the first answers together.
What can an OpenAI-built assistant 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, Gemini CLI, agents built with Google's tools, and anything that calls our API.
The business case for your AI lead
Why give your OpenAI agents Dashmote data:
- Build on the models you chose: teams that standardise on OpenAI models get foodservice answers without a separate data pipeline.
- Grounded answers: dated outlet, menu and delivery app records replace guesses from the open web.
- One source for every agent: in-house agents on OpenAI models read the same data as DashONE and DashLeads.
- Governed access: the connection is scoped to your workspace and your licence.