BLOG
● Solution
Your shelf data, inside your AI assistant.
Your team increasingly works inside AI assistants. Actowiz is designed to connect your shelf data to ChatGPT and Claude via MCP, so you can query insights right where you already work. Rolling out through 2026.
● Now onboarding a small group of early-access brands
ILLUSTRATIVE EXAMPLE
Connects viaMCP
Query fromChatGPT · Claude
Data accesssecure
Status2026 roadmap
The definition
What is AI assistant integration?
AI assistant integration connects your Actowiz data to assistants like ChatGPT and Claude through
the Model Context Protocol (MCP), so your team can ask about price, stock, rank, reviews and Share of AI
from the AI tools they already use. This is rolling out through 2026.
As teams shift their daily work into AI assistants, switching to a separate analytics tool for every question adds friction. AI assistant integration brings your shelf intelligence to where the work already happens: ask your assistant about your buy box, a competitor price or your Share of AI, and it answers using your live Actowiz data, securely. It is digital shelf intelligence that meets your team in their workflow.
MCP
native
ChatGPT & Claude
ready
2026
rolling out
Capabilities
What it is designed to do
Shelf intelligence, in the AI tools you already use.
MCP connection
Securely connect Actowiz data to assistants.
Query from ChatGPT/Claude
Ask about your shelf in your assistant.
Secure access
Controlled, permissioned data access.
Real-time answers
Live Actowiz data, not stale exports.
Alerts in chat
Get shelf alerts where your team talks.
Workflow fit
No new tool to learn — use what you have.
The difference
Working blind, or in control?
Without Actowiz
- Insight lives in a separate tool
- Teams switch context for every question
- Exports are stale by the time they are used
- AI workflows lack your shelf data
With Actowiz
- Query Actowiz data inside your assistant
- No context-switching to a dashboard
- Live data, securely, on demand
- Shelf intelligence in your AI workflow
In the real world
What it looks like for teams like yours
Real situations Actowiz is built to fix — see your own in them.
Data / OpsD2C
Your team lives in ChatGPT but shelf data sits elsewhere.
→ MCP brings Actowiz data into the assistant they already use.
Brand ManagerBeauty
You want a quick shelf fact without opening another tool.
→ Ask your assistant and it answers from live Actowiz data.
LeadershipFMCG
You prefer asking questions over reading dashboards.
→ Query the shelf conversationally, right in your AI tool.
Why it matters
Why your data should meet your workflow
The best insight is the one your team actually uses, and increasingly that means inside an AI assistant. Forcing people to leave their workflow for a separate dashboard means fewer questions asked and slower decisions. Bringing Actowiz data into ChatGPT and Claude via MCP removes that barrier, so shelf intelligence becomes part of the daily conversation rather than a separate destination.
How it works
How it works
Pick scope
Choose the platforms, markets and SKUs to track.
We track
Relevant signals captured continuously and accurately.
Benchmark & alert
Your position versus rivals, with alerts on every move.
Act
Dashboards, reports and alerts your team can act on.
Who it's for
Who it's for
✓
Data & ops teams
Expose shelf data where teams work.
✓
Brand managers
Ask your assistant, not a dashboard.
✓
Analysts
Pull live data into AI workflows.
✓
Leadership
Query the shelf conversationally.
✓
Tech-forward brands
Adopt the AI-native workflow early.
✓
Agencies
Bring client data into AI tools.
Questions, answered
AI Assistant Integration FAQ
It connects your Actowiz data to AI assistants like ChatGPT and Claude via the Model
Context Protocol (MCP), so your team can query shelf intelligence from the tools they
already use. It is rolling out through 2026.
The Model Context Protocol is an open way to connect tools and data to AI assistants, so
they can answer using live, permissioned data.
It is on the 2026 roadmap and rolling out progressively; early-access brands help shape it
and get it first.
Yes — access is designed to be controlled and permissioned, so only authorised data is
exposed.
It is designed for assistants that support MCP, including ChatGPT and Claude, with more
over time.
Be first to use your data in AI
Join the early-access program to help shape AI assistant integration and get it as it rolls out through 2026.
Request early access →
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