NotebookPipeline
Daily network health reports
Build the route performance analysis once in a collaborative notebook, then schedule it as a pipeline so the network review lands in the dispatch team's inbox every morning.
Talk to your fleet, routes and delivery data, build operational control towers, deploy internal tools and automate exception alerts — all from one platform connected to the systems your ops team already runs on.
See how it worksAsk your fleet, routes and delivery data in plain language
Operational views for dispatch, network and on-time performance
Schedule delay alerts, route refreshes and performance reports
From asking a question to shipping an internal app, MINEO covers the full journey — connected to the data your logistics team already runs on.
Connect any datasource — fleet, routes, deliveries, telematics, TMS, tracking events — and start asking questions in natural language. Threads auto-generates SQL, runs code, and delivers answers with interactive charts and tables. Build custom AI assistants with the model of your choice.
Threads · Fleet analysis { "tool": "tms-mcp", "action": "create_task", "summary": "Reassign 2 trucks from the north corridor" }
via tms-mcp · just now
More than Jupyter. MINEO Notebooks combine code, AI assistant cells, interactive widgets and visual tools in one collaborative environment. Perfect for network planners, operations analysts and data teams — write Python, explore your data, and deploy as live apps from the same notebook.
File View Block Kernel Help 
Compare delivery performance across corridors and carriers.
df = mineo.query("SELECT corridor, AVG(on_time) FROM deliveries GROUP BY corridor")
px.bar(df, x="corridor", y="on_time", title="On-time by corridor")
Key insight: North America drives 43% of total revenue. APAC showed the strongest growth at +23% QoQ, driven by expansion in Japan and Australia.
df.sort_values("revenue", ascending=False).head()
| Region | Revenue | Growth |
|---|---|---|
| North America | $1.8M | +12% |
| Europe | $1.1M | +8% |
| APAC | $820K | +23% |
| LATAM | $480K | -3% |
Turn notebooks into always-on control towers and interactive applications for dispatch, network planning and customer operations. Deploy with Streamlit, Gradio, Dash and 6+ more frameworks. Custom domains, white-label branding and embeddable visualizations — ready for your stakeholders.
Mineo · Control tower Last updated: 2 minutes ago
On-time deliveries
94.2%
+1.7pp vs Q3
Open exceptions
18
-4 vs Q3
Idle capacity
7.8%
-1.2pp vs Q3
| Customer | Region | Revenue | Status |
|---|---|---|---|
| Acme Corp | NA | $245K | Active |
| TechFlow GmbH | EU | $182K | Active |
| Sakura Ltd | APAC | $156K | Pending |
| DataBr SA | LATAM | $98K | Active |
A complete Linux development environment accessible from your browser. Install any package, any tool — Claude Code, Codex, Gemini CLI. Build your routing models with the libraries you trust, connect to your datasources and collaborate with your team. No local setup required.
VS Code — Dev Environment Explorer
import streamlit as st
from mineo import DataSource
import plotly.express as px
st.set_page_config(layout="wide")
st.title("Fleet Control Tower")
ds = DataSource("fleet_db")
df = ds.query("SELECT * FROM deliveries")
# Layout
col1, col2 = st.columns(2)
col1.metric("On-time %", f"{df.on_time.mean():.1%}")
col2.metric("Exceptions", f"{df.exception.sum():,}")
# Charts
fig = px.bar(df, x="corridor", y="on_time", color="carrier")
st.plotly_chart(fig, use_container_width=True)
mineo-dev@workspace:~/project$
Successfully installed plotly-5.22 scikit-learn-1.5
Your app is live at https://ops.mineo.app
✓ Deployed successfully
Chain notebooks into production workflows. Schedule recurring runs with cron, trigger via REST API, and monitor execution in real time. From daily route refreshes to exception alerts — build reliable workflows without infrastructure overhead.
/ Projects / logistics / Daily network refresh Elements
Resource Config
Scheduling
API
The biggest unlocks come when MINEO's building blocks share the same logic — the same notebook becomes a daily pipeline, an internal dashboard, or an answer in a Threads conversation.
Build the route performance analysis once in a collaborative notebook, then schedule it as a pipeline so the network review lands in the dispatch team's inbox every morning.
Ops analysts explore delivery exceptions conversationally with Threads while dispatchers see the same corridors in an always-on Live App control tower.
Prototype the ETA model in a Cloud Dev Environment, refine it in a notebook with the network team, and ship it as an internal Live App without rewriting.
Use MINEO to talk to your data, build control towers, deploy internal apps and automate exception alerts — all from the same workspace.