Custom agent · Built in-house
Ask your planning data questions and get a ranked shortlist in minutes
Malaysian tower company EDOTCO Group built NaPA GPT on Microsoft Azure so network planners can query operational and geospatial data in plain language and get ranked site shortlists without waiting on the data science team.
What they did
EDOTCO first pulled planning, geospatial and operational data into one platform called NaPA, then added a conversational layer connected to those datasets. Planners type criteria such as coverage gaps or where investment would be strongest, get a ranked list of opportunity areas, and refine it with follow-ups like prioritising sites near transport corridors. Selected results are shared with government agencies through dashboards.
How it went
Microsoft says planners now get a ranked shortlist within minutes, where preparing the data used to take the data science team three days to a week.
Worth knowing
This is a vendor feature article. It does not say how often the shortlists match planners' final choices or which model powers the tool.
Try it with Custom agent
Here are our datasets: <coverage data>, <site list> and <demand or population data>. Rank the top <number> areas where a new <site or branch> would add the most value, using <criteria>. Show the score breakdown for each area, note any data gaps, and let me refine the ranking with follow-up conditions.
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What this label means: Vendor case study
The maker describes it on its own site or launch post. It shows what the product is meant to do, with no independent result.
Summarised from the original source; the link has the full story. The people and companies here are not Wize customers.