Retail Analytics · Regional NSW

Generating Retailer Review Decks in Minutes for a Retail Analytics Business

OfficePro Consulting built a tool that automatically produces a retail analytics business's large PowerPoint review decks. What used to take days of manual building now takes minutes: the analyst chooses what to report on, clicks a button, and a fully branded deck of around 660 slides comes out ready for commentary.

~660-slide decks
In production
Python · Power BI · Excel
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Under 5 min
A full review deck, ready
Days → minutes
Manual building replaced
~660 slides
Built automatically, every time
One click
From scope to finished deck

The challenge: days of clicking to build one review

Every retailer review meant building a large PowerPoint deck from scratch. The analyst pulled the numbers out of Power BI, dropped them into templates, refreshed everything, then tidied the file so it would not break and repeated that for every part of the range.

Pull from Power BI
The analyst pulls the numbers out of Power BI by hand
!
Drop into templates
Figures pasted into slide templates one by one
Slide by slide
!
Refresh and tidy
Refresh everything, then tidy so the file will not break
Fragile files
!
Repeat across the range
The same again for every part of the range
Days of work
Deck ready
Hundreds of slides, before a word of commentary is written
Hundreds
Slides in a single review deck
Hours
To build one deck before commentary
Days
For a full review across the range
Fragile
Files prone to breaking, on old branding

What we built

A tool that builds the whole deck automatically. The analyst picks what to report on, clicks a button and a complete, on-brand deck comes out ready for commentary. It draws on the client's existing Power BI data, so the numbers are always current and the finished file is reliable and self-contained.

1
Understand the decks. We reviewed the current decks to capture exactly what each review needs to show.
2
Build the tool. We built the generator and tested it against live Power BI data, then refined it with the analyst's feedback.
3
Brand and go live. We matched it to the client's branding and put it into everyday use for a live retailer review.

How it works

The analyst sets the scope in a simple front sheet and clicks once. From that single click the tool pulls the data straight from the client's Power BI, works through the range automatically and builds a fully branded deck of around 660 slides.

It tailors the output to the audience, so a supplier version leaves out the commercial detail a retailer version includes and because the finished deck stands on its own, the broken-file problems of the old templates are gone.

What used to take days of building by hand now runs in under five minutes, so the analyst's time goes into the analysis and the client conversation rather than assembling slides.

Project snapshot

TypeNew build, fixed price
Output~660-slide decks
TriggerA single click
Build timeUnder 5 minutes
SourcePower BI data
StatusIn production

Delivery phases

1
Understand the decks
What each review needs
2
Build the tool
Tested on live data
3
Brand and go live
Live retailer review

Technologies

PythonPower BIExcel

A Python build that reads the front sheet, queries Power BI and writes a fully branded PowerPoint deck.

Related services

This build drew on our custom code, Power BI and automation services to turn a manual deck into a one-click tool.

View all services →

The results: from days of building to a deck in under five minutes

What changed once the generator went into everyday production use.

Under 5 min
To produce a full review deck
Days by hand→One click
~660 slides
Built automatically
Slide by slide→One run
Reliable
The finished deck
Files broke→Self-contained
Freed up
The analyst's time
Building slides→On analysis
The analyst now produces a full review deck in under five minutes instead of building it by hand over days. He sets the scope, the tool does the assembly and the branded deck comes out ready for his commentary. The time that used to go into clicking and tidying now goes into the analysis and the client conversation and the old problem of files breaking is gone. The tool is in everyday use and the same foundation can be extended later to schedule decks automatically or add AI-drafted commentary if the client chooses.
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