Store Optimisation
See every store in the right context.
Compare stores serving similar communities, understand what's driving performance, and confidently decide where to invest, optimise and grow.
Book a demo
MADE
FOR
BETTER
RETAIL
DECISIONS
The Dot approach
Powered by ANZ transaction data, we group stores into communities with similar retail personalities, benchmark them against true peers, and layer in market intelligence to uncover the opportunities that matter most.
1
Define each store's community
We identify the trade area for every store to understand the community it serves.
2
Build a community profile
Using ANZ transaction data and community characteristics, we create a profile of the factors that influence retail behaviour.
3
Group similar communities
Stores are grouped into community types, allowing fair, like-for-like benchmarking across your network.
4
Layer in market context
We add market growth, competition, customer demand and future potential to understand what's happening in each community.
5
Take action confidently
Every store is mapped into a simple action framework, helping prioritise investment, improve performance and identify future opportunities.
See it in action
Navigate seamlessly between stores, communities and market insights to identify opportunities across your retail network.
Store Optimisation
See every store in the right context.
Compare stores serving similar communities, understand what's driving performance, and confidently decide where to invest, optimise and grow.
Book a demo
MADE
FOR
BETTER
RETAIL
DECISIONS
The Dot approach
Powered by ANZ transaction data, we group stores into communities with similar retail personalities, benchmark them against true peers, and layer in market intelligence to uncover the opportunities that matter most.
1
Define each store's community
We identify the trade area for every store to understand the community it serves.
2
Build a community profile
Using ANZ transaction data and community characteristics, we create a profile of the factors that influence retail behaviour.
3
Group similar communities
Stores are grouped into community types, allowing fair, like-for-like benchmarking across your network.
4
Layer in market context
We add market growth, competition, customer demand and future potential to understand what's happening in each community.
5
Take action confidently
Every store is mapped into a simple action framework, helping prioritise investment, improve performance and identify future opportunities.
See it in action
Navigate seamlessly between stores, communities and market insights to identify opportunities across your retail network.
Store Optimisation
See every store in the right context.
Compare stores serving similar communities, understand what's driving performance, and confidently decide where to invest, optimise and grow.
Book a demo
MADE
FOR
BETTER
RETAIL
DECISIONS
The Dot approach
Powered by ANZ transaction data, we group stores into communities with similar retail personalities, benchmark them against true peers, and layer in market intelligence to uncover the opportunities that matter most.
1
Define each store's community
We identify the trade area for every store to understand the community it serves.
2
Build a community profile
Using ANZ transaction data and community characteristics, we create a profile of the factors that influence retail behaviour.
3
Group similar communities
Stores are grouped into community types, allowing fair, like-for-like benchmarking across your network.
4
Layer in market context
We add market growth, competition, customer demand and future potential to understand what's happening in each community.
5
Take action confidently
Every store is mapped into a simple action framework, helping prioritise investment, improve performance and identify future opportunities.
See it in action
Navigate seamlessly between stores, communities and market insights to identify opportunities across your retail network.