Pattern retail planning platform on laptop screen

The Enterprise Retail Merchandising Platform Configured Around Your Business

Scroll
Why now The strategic read · 2026

The winners won't out-spend the market. They'll out-decide it.

Why the next five years will be decided at the merchandise desk — the value creation case.

Trusted by leading specialty retailers
1.5B+
SKU records analysed daily across the platform.
160+ yrs
Of collective retail science and merchandise planning expertise.
Plan → Order → Execute
From financial plan to order and store-level execution.
01 The Stakes

Merchandise decisions carry the P&L and the balance sheet.

No other operating investment touches these levers as directly. Every one of them is set, weekly, by planning and trading decisions.

  • Gross margin & markdown spend — what discounting costs, and when the lever is pulled
  • Stock turn & working capital — how much cash the range ties up, and for how long
  • Full-price sell-through — how much of the buy sells at the price it was bought for
  • Availability, range & size — whether demand is met in the right store, at the right depth
  • Trend capture — whether open-to-buy follows growth or last year's shape
$300B+
Annual cost of specialty retail markdowns (Coresight Research)
53%
of senior leaders blame merchandise misjudgements for missed results (Coresight Research)
02 The Gap

Heavy system investment, and the decision still lives in a spreadsheet.

The data estate is real and the reporting is accurate. But the layer where money is committed — the buy, the allocation, the markdown — still runs on documents that fragment the moment they are shared. Versions multiply, reconciliation absorbs the week, and the correction lands after the margin is gone.

Teams waste days assembling answers they know are in the data. And when key team members leave, the system leaves with them.
03
Decisions · Spreadsheets
Where plans, allocations and trade calls actually get made: siloed, versioned, error-prone.
02
Preparation · Data warehouse / cube
Centralised measures, prepped for reporting.
01
Source · ERP & systems of record
Heavy investment, accurate base data.
03 The Shift

From planning events to a decision operating rhythm.

The target operating state we help our customers implement. Each shift measured in operating improvement.

Today

Planning events.

  • Many versions of the plan, cut up by team and region
  • Decisions reviewed monthly or quarterly, in retrospect
  • Planners assembling data, judgment applied late
  • Exec visibility from month-end packs
The operating rhythm

Decisions at trading speed.

  • One version of the plan the whole business trades on
  • Decisions made weekly, at trading speed, while the lever still exists
  • Science and AI recommending, people governing and deciding
  • Exec visibility straight from the live trading position
04 The Pattern Engine

The context & intelligence layer for specialty retail.

Pattern's Retail Science Platform turns your raw retail data into decision-ready intelligence. One foundation, configured workflows, connecting planning and buying teams.

  • Your hierarchy, clusters and sales curves, modelled natively
  • Live signals, rules and constraints in one governed layer
  • Every module draws from the same single source of truth
05
Configured Workflows
Tailored to how you trade
04
AI Intelligence
Forecasting & reasoning
03
Retail Science Engines
Optimisation engines & methodologies
02
Data Foundation
Single extendable model, built for high-volume SKU retail
01
Data Ingestion
Any source system
05 Solutions

From financial plan to store-level execution.

Connected modules, each built and configured on the Pattern foundation. Every one shares the same data model, retail science components and optimisation engines.

06 Outcomes

Configured to deliver winning retail outcomes.

Generic planning software can't optimise for what makes you different. Pattern tunes your planning rhythm to the outcomes that move your margin and sales growth.

01Store, Range & Size Availability+
The right product, in the right store, at the right time, in the right size, so demand is met where it lands and stock-outs and size breaks are designed out rather than patched after the fact.
How Pattern does it
  • Dynamic, granular store and size-curve accuracy, tuned to real-time demand
  • Store-level allocation and replenishment tuned to local weather patterns and dynamic demand drivers
What it drives
  • Fewer stock-outs and size breaks
  • Higher full-price sell-through and availability
02Trend-Right Seasonal Investment+
The right investment in the right categories at the right depth, so open-to-buy follows where the trend is growing and weight isn't stranded in declining lines.
How Pattern does it
  • Category-level trend read against your own sale curves
  • OTB shaped to growth, not last year's shape
  • Depth vs breadth balanced per cluster
What it drives
  • Maximum capture of trend growth
  • Less residual stock in fading categories
03Margin & Markdown Efficiency+
Protect margin by acting on ageing stock and markdown risk early, while there's still a profitable lever to pull and not once the season has already eroded.
How Pattern does it
  • Early markdown-risk flags, surfaced before margin erodes
  • Exit and clearance timing sized by rand impact
  • Identify and act to drive maximum margin outcome
What it drives
  • Lower markdown spend per cut
  • Cleaner exits and protected gross margin
07 The Pattern AI Layer

Your data foundation and retail science become the context and tool layer your AI works on.

Pattern's data foundation and retail-science components, one clean data model with your hierarchies and your decision rules, give AI planning systems the trustworthy context to reason over and the governed tools to act with. Today, two modules run on that layer:

01 Pattern AI Forecaster + 02 Agent Planner
Module 01 Pattern AI Forecaster

A neural-net forecaster that maps every demand driver, right down to SKU and store.

It learns how store weather, seasonal events, and store and product features shape demand at SKU and store level, modelling both seasonal ranges and steady non-seasonal lines with the right behaviour for each.

Pattern AI Forecaster · Knitwear Funnel Neck Sweater

Maps dynamic demand drivers

Weather, events and store and product features, modelled at SKU and store level. Not a category-level average pushed down.

Seasonal and non-seasonal, the same

One model family handles short-life seasonal ranges and steady continuity lines, each with the right demand behaviour.

Feeds every downstream plan

A single demand signal that MFP, allocation and the Agent Planner all reason and act on.

Module 02 Agent Planner

The AI planner built for merchandise teams. It hands back finished work, not a chat thread.

It removes the analysis days that fill a planner's week: reading the board, ranking what matters, and executing the fix on your approval, all grounded in your live data and your decision rules.

Pattern Agent Planner · Monday Brief

Reads the board and briefs you

Every Monday it reads your live trading position and hands you a ranked brief of exactly what needs your attention.

Resolves actions in-line

It proposes the fix, then executes it against your tools the moment you approve.

Answers on live data, on demand

Ask it anything: sell-through by cluster, OTB exposure, size-break risk. You get an answer from your live data, not a cached dashboard.

Tracks and backtests itself

Every recommendation is measured against what actually happened, so the agent keeps getting sharper on your business.

A planner's Monday, before

The day disappears into the data.

  • Arrive to a blank spreadsheet and last week's open questions.
  • Pull, join and reconcile exports across four systems.
  • Hunt for what moved, and hope nothing slipped through.
  • Reach a decision late on Tuesday, once the analysis is finally clean.
A planner's Monday, with Agent Planner

The week starts at the decision.

  • The brief is waiting at 07:30, trading position already read.
  • Actions ranked by the rand value at stake, highest first.
  • Start, Resolve or Dismiss each one, and the agent executes the fix.
  • By mid-morning you're applying judgment, not stitching spreadsheets.

See Agent Planner run on your own data.

08 The Ignition Cycle

Most vendors are constrained by generic, opinionated code bases.

Pattern starts with understanding your business and your DNA. The Ignition Cycle solves your specific challenges with a configured system on your own data, fast, then takes it to production.

Phase 1

Identify your urgent need. See it solved on your own data

  • 1
    Discovery & Solution Design
    We map your trading process, hierarchy and decisions, and design the solution around how you actually work.
  • 2
    Data Mapping & Take-On
    We map and ingest your data, design the data model and stand up your environment.
  • 3
    Test System & Demo
    A configured system on your own data, to see, validate and pressure-test.
Repeat stages 1–3 for each new module, as the platform expands to solve more of your challenges.
Phase 2 · To production

Into production, and supported through to business value

  • 4
    Iteration & Refinement
    We refine the configuration with your team against real decisions and edge cases.
  • 5
    Integration, Build & Validation
    Full integration solution design, build and validation, ready for production-scale data ingestion.
  • 6
    Go-Live & Hypercare
    Launch into production with hands-on hypercare support through stabilisation.
A governed path from working prototype to production at scale.
09 Why Pattern

What the global vendors struggle to do.

Speed improves Time-to-Value & ROI

Your configured system runs on your own data within weeks, which reduces risk and improves time to value.

Fit drives outcomes

Tuned to your data and your structure. It understands your clusters and sales curves, not a generic template you bend to fit.

Deployed specialists, not revolving consultants

Retail planning specialists work inside your business, building expertise and managing change.

Your data. Your cloud. Always.

Runs in your own dedicated cloud tenant. Your data never leaves your environment, and security stays your standard.

Built by merchants

Retail science and workflows built by people who have run enterprise buying, planning and allocations. Your clusters, your curves — not a template you bend to.

One codebase, no forks

Every client runs the latest platform and science. Improvement without disruption, in the subscription, release after release.

Zero customers lost since inception.

And most recently: a legacy global enterprise planning platform at one of South Africa's largest retailers, retired and replaced by Pattern in under 4 months, with zero disruption to trading.

Global planning suites sell a programme. Pattern sells your problem, solved.

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
Integrate with your existing systems & data

Talk to specialty retail planning specialists, not salespeople.

See Pattern configured on your own data in weeks.