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Demonstration · Illustrative data · BI Consulting Services

Sales Order Intelligence Board for a 5,000-component catalogue

One Power BI model over sales-order lines from Ronkonkoma and Cusano Milanino: orders and revenue by product family, line-item fill rate, sample-to-order conversion, top OEM accounts and backorder ageing — refreshed from the ERP, not from spreadsheets.

Prepared for DJEVP & CITDO, Qosina
September 2026Concept demonstration
Data scope24 months · 3 regions · 6 families · 24 sub-families
Trend · 24 months

Order revenue by month, with line-item fill rate

Fig. 1
Revenue, selected periodRevenue, outside periodFill rate (lines shipped complete)
What this board answers

Three questions the sales team asked

Signature view · Component catalogue grid

24 sub-families sized by order lines, shaded by fill rate

Fig. 2
Fill rateTile area = order lines · dashed outline = below 95% target
Ranking · Accounts

Top 8 OEM customers by revenue

Fig. 3
USEURest of world
Availability · Backorder ageing

Open backorder lines by age band

Fig. 4
Conversion · Free samples

Sample request → quote → first order

Fig. 5
Ask the data · AI layer

Natural-language question over the same model

DJ · 09:14 · scope: All regions · All families · Last 12 months
Ask a follow-up, e.g. “which EU accounts are waiting on silicone tubing?”Ask

Also from BI Consulting Services

Private AI on your own server

The "ask the data" panel above is built to run on a GPU server inside your own network: an open-weight model over your own documents, with every answer citing the file it came from. No per-seat licence, works offline, and nothing leaves the building.

How it sits in your environment

YOUR NETWORK · NOTHING LEAVES THE BUILDING Your files policies · SOPs · contracts reports · ERP exports indexed locally GPU One server, in your building open-weight model · your data only in seconds Cited answers every reply links to the source file and page no cloud AI · no third-party processor
One appliance-class server on your rack or in a secured closet. Your files are indexed where they already live; the model runs locally; answers come back with the source page attached.

What that means in practice

  1. 1
    Your data only, on your hardwareAn open model over your own documents and exports. No third-party AI processor, no data-transfer agreement to review.
  2. 2
    Every answer cites its sourceReplies point to the file and page they were drawn from, so people check the answer instead of trusting it blind.
  3. 3
    No per-seat licenceThe whole team can ask questions. Cost is the server and our build, not a monthly number that grows with headcount.
  4. 4
    Works offlineIf the internet connection goes down, the answers still come. Nothing depends on a vendor's uptime or pricing changes.

The short deck

14 slides on how a private AI server is scoped, secured and rolled out. Click through, or take the PDF.

Download the PDF
Private AI on your own server — slide 1 of 14 Private AI on your own server — slide 2 of 14 Private AI on your own server — slide 3 of 14 Private AI on your own server — slide 4 of 14 Private AI on your own server — slide 5 of 14 Private AI on your own server — slide 6 of 14 Private AI on your own server — slide 7 of 14 Private AI on your own server — slide 8 of 14 Private AI on your own server — slide 9 of 14 Private AI on your own server — slide 10 of 14 Private AI on your own server — slide 11 of 14 Private AI on your own server — slide 12 of 14 Private AI on your own server — slide 13 of 14 Private AI on your own server — slide 14 of 14
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