Retail growth systems

Retail growth without blind spots.

Grow store sales, availability and profitability by making the next product, inventory, marketing, staff, price and location decision more evidence-led.

Retail is a chain reaction

The right store outcome depends on a set of connected choices.

A high-potential product cannot perform if it is missing from the right store. A media plan cannot work if it ignores local demand. A new location should be judged as a catchment, not a pin on a map.

ProductWhat earns more space and attention?
PlaceWhere does demand exist — and where should stock go?
ProfitWhich intervention improves revenue quality?
Assortment planning

Mine sales data to find your “home-run” products.

Move beyond headline best sellers. Identify the products, attributes and price bands that repeatedly outperform by store cluster, season, customer profile and commercial role.

  • Hero SKU and long-tail opportunity mapping
  • Store-cluster and locality-level product fit
  • Gap analysis: what customers want but the range misses
Inventory planning

Plan demand upstream. Place supply where demand will happen.

Build a view of what to reorder from suppliers and how to distribute it across warehouses and stores with very different local demand patterns.

  • Demand forecasting, stock cover and reorder logic
  • Allocation by store potential, climate, capacity and sell-through
  • Warehouse-to-store flows that reduce lost sales and overstock
Marketing

Build a city and store-aware media mix.

Use media mix modelling and store-level evidence to see which channels contribute where, then shift investment toward the city, store and calendar combination with the strongest incremental upside.

  • Store and city sales response to media
  • Budget reallocation by market maturity and local context
  • Campaign calendars aligned to store demand moments
Pricing & markdown

Protect revenue with a smarter price and markdown rulebook.

Understand where willingness to pay is strong, where price sensitivity is high and when markdowns should accelerate sell-through without becoming margin leakage.

  • Price elasticity by product, category and location
  • Markdown timing, depth and aging management
  • Revenue and margin guardrails for promotions
Store staff planning

Right-size staffing without under-serving demand.

Use the relationship between staff count, footfall, conversion, service needs and sales to create more grounded staffing and roster recommendations.

  • Sales and conversion correlation with staff coverage
  • Peak-hour and format-specific capacity planning
  • Store-level right-sizing rather than broad averages
New store location

Choose catchments with a reason to win.

Evaluate new-store potential through the people, retail ecosystem, complementary brands, competition, access and demand profile around each catchment.

  • Catchment, affluence and customer-profile analysis
  • Competitive and complementary brand landscape
  • Site shortlist and sales-potential logic
A connected retail operating system

Better retail decisions work together, not one spreadsheet at a time.

A

The assortment informs the buy

Home-run products and local range gaps become direct inputs to demand planning and supply allocation.

L

The location informs the launch

Catchment evidence helps shape the opening range, the media plan, the staffing model and the inventory profile.

P

The price informs the profit

Elasticity and sell-through signals improve promotion, markdown and replenishment decisions together.

What your team gets

A decision-ready retail growth map — not a generic playbook.

Each workstream results in a prioritized decision set, the underlying evidence, practical implementation steps and a simple way to track whether the change is working.

Store and category opportunity heatmaps SKU, range and price action lists Reorder and allocation decision rules City and store media investment logic Staffing and capacity recommendations Catchment-scored location shortlist
Retail growth begins with a better question

Which retail decision would change the most if you had better evidence?

Bring us the category, city, store, margin, inventory or expansion question. We will help you frame the next highest-value move.