Proof

South Africa's leading specialty retailers run on Pattern.

In a category known for stalled programmes and shelfware, the record is the argument.

Zero
Customers lost since inception.
< 4 months
To retire and replace a legacy global enterprise planning platform, with zero disruption to trading.
1.5B+
SKU records analysed daily across the platform.
Trusted by leading specialty retailers
01 The replacement

A global legacy planning system, retired in under four months.

Not a first system for a business outgrowing spreadsheets: a running, board-visible planning estate at one of South Africa's largest retailers, replaced mid-cycle. Discovery to production in under four months, trading uninterrupted throughout.

  • A legacy global enterprise planning platform, fully retired
  • Zero disruption to trading through the switch
  • Sequenced as waves on one data foundation
Global planning suites sell a programme. Pattern sells your problem, solved.
Global suites position replacement as a multi-year transformation. The Ignition Cycle compresses it: you see it solved on your own data first, then take a solution to production.
02 In their words

Celebrated by the business, not tolerated.

Enterprise planning tools are usually endured by the teams that use them. The measure we hold ourselves to is different: planners opening Pattern first, unprompted, every morning — because the work arrives finished.

We have run many retail projects over recent years. Pattern is the one that has been truly celebrated by the business.
Shelley Prinsloo, General Manager · Poetry Fashion
The first thing we do each morning is log into Pattern. Key analysis that used to take a planner all day is now ready in minutes.
Cameron McKay-Claassen, Sr. Merchandise Planner · Cape Union Mart

Cape Union Mart: from a full day to minutes.

The Cape Union Mart group — Cape Union Mart, Old Khaki, Poetry, Keedo — runs its planning and trading rhythm on Pattern across brands and stores.

The next proof point can be yours.

See Pattern configured on your own data in weeks.