Logistics & Warehouse Operations | Using AI on the real floor (not in theory) | Panamá
Panama
Joined October 2021
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A practical field guide for warehouse and DC managers. Models, Cowork, Skills, prompts — and the parts nobody puts in the demo.
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The real work in logistics isn’t analysis.
It’s assembly.
WMS exports + supplier PDFs + random spreadsheets + email threads + the deck you build at 11pm.
That’s the work these tools got good at in 2026.
I wrote a field guide specifically for that reality.
View article
#SupplyChain #Logistics #Warehouse
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If you work in a warehouse or DC and you’re using Claude, this will save you time:
I put together a practical field guide with:
Model selection by consequence
Real Cowork use cases
Skills that actually stick
Prompts that don’t invent numbers
Where people usually get burned
Here it is:
View article
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Most AI-for-logistics guides are written by people who have never counted a pallet.
So I wrote the one I actually needed.
→ Which model to use for what → Cowork for inbound reconciliation → 5 Excel jobs that pay for themselves → 10 prompts you can paste today → The parts vendors never mention
Free field guide for warehouse & DC managers:
View article
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Every AI-for-logistics guide I've read was written by someone who has never counted a pallet.
So I wrote the one I wanted. 13 pages, for warehouse and DC managers. Free.
Which model for which job.
Cowork for inbound reconciliation.
The five Excel jobs that pay for themselves.
10 prompts you can paste today.
The four instructions that stop it inventing numbers.
Plus the part vendors skip: what it won't do, and where people get burned.
Comment WAREHOUSE and I'll send it.
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It’s not common, but I don’t share this for followers… here’s the link in a safe way for people to see:
dub.sh/warehouse-guide
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Most people use AI…
and still get generic answers.
This is what changes the game:
A SKILL.md
It’s the file that teaches the AI to work like a specialist in your operation, not like a random chatbot.
Simple structure:
---
name: warehouse-daily-ops
description: Activate when I ask for daily reports or warehouse KPIs
---
# Instructions
- Check critical inventory first
- Prioritize deviations by impact
- Deliver the report in an actionable format
With this, the AI stops improvising
and starts operating like someone who actually knows your warehouse.
Are you using skills… or just prompts?
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A SKILL.md is the file that teaches an AI a specialized skill.
It tells the AI when to activate and how to run a process with consistency — instead of improvising.
For us in logistics:
With a warehouse-daily-ops skill, when you ask for the daily report it already knows which KPIs to check, how to prioritize deviations, and what format to deliver to the team.
It stops giving generic answers.
It starts operating like someone who actually knows your warehouse.
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42,000 accounts removed for automating replies with chatbots.
The problem was never AI. It was the closed loop: machines replying to machines and calling it conversation.
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César Correa retweeted
Today we're announcing the completion of one of the largest engineering projects in the company's history:
We rebuilt the X Android app from scratch
It's faster, smoother and more reliable. But most of all: it will enable us to build new features at lightning speed.
I work in logistics in Panama.
During the World Cup, import flow felt noticeably slower than usual. Fewer containers at the peaks we expected, orders more spread out.
A week after the final, clear rebound.
Did anyone else see this?
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My three hypotheses:
Procurement teams distracted, purchasing decisions pushed back.
Consumer spending redirected to experiences and merch instead of regular purchases.
Selective port congestion at the host cities, which ends up dragging other flows with it.
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It may come down to the type of cargo. Discretionary goods tend to be the first thing people postpone.
If you're in import/export or supply chain in Panama or the region: did your operation move the same, slower, or faster in June-July?
#SupplyChain
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César Correa retweeted
GeoLibre v2.2 is here!
GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private.
What's new in v2.2.0
- Terrain-aware 3D measurement: the Measure tool now follows the terrain surface for true slope distances and volumes.
- Timelapse plugin: animate an image or map series and export it as a shareable GIF or video.
- Styled offline basemaps: export PMTiles basemaps that keep their styling, with the offline menus consolidated into one place.
- Advanced symbology: a rule-based renderer with per-rule symbol properties, scale-dependent visibility, and nested rules, plus a Style Manager that saves reusable symbol, ramp, and label presets to a personal library.
- Diagrams and a symbology pack: draw pie, donut, and bar charts on features, and reach for inverted-polygon masks, arrow and marker lines, geometry generators, and data-driven proportional marker sizing.
- Expression everywhere: a shared Expression Builder with a function reference, field list, live preview, and variables.
- Print Atlas: generate a map series in the Print Layout, one page per feature or a uniform run of pages along a river or trail, with attribute-table and chart blocks on the page.
- Browser-native conversions: COG, FlatGeobuf, Shapefile, and GeoPackage conversions now run in the browser, and Vector to PMTiles.
- More formats: VRT raster support, and Esri File Geodatabase (.gdb) layers on the desktop app.
- Better recordings: Record Video now captures on-map panels (HTML, legend, colorbar) in the output.
- Processing History: a panel that lists every tool you have run, with one-click re-run and Copy as Python to turn a session into a reproducible script.
- Live GPS tracking: a moving position marker, a recorded track log, and digitizing new features straight from the GPS feed.
- Data quality tools: check validity, fix geometries, and check topology rules to catch and repair bad geometries before they bite.
Try it out
- Launch GeoLibre Web: web.geolibre.app
- GitHub: github.com/opengeos/GeoLibre
- Documentation: geolibre.app
- Release notes: github.com/opengeos/GeoLibre…
#GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre
El burnout no viene de trabajar mucho. Viene de descansar mal.
El sistema que uso para sobrevivir semanas pesadas sin dejar de crear en X 👇
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César Correa retweeted
This just in: MTS host BRUTALLY FIT MOGS 😤 co-host with insanely Tuff Cyberpunk jacket 😮💨👌
