Optimise the Whole Mall, Not One Shop
A tenant-mix platform that quantifies halo and cannibalisation effects between stores and recommends the trade type and rent direction for every unit.
- ThinkCol built a tenant-mix optimisation platform on the operator's own CPI-normalised sales, lease, floor, and trade data.
- The platform quantifies halo and cannibalisation effects between tenants and forecasts each tenant's sales and renewal likelihood.
- Recommendations optimise total mall sales and portfolio yield rather than a single unit's rent, and are explainable back to the underlying data.
A mall operator set its tenant mix one lease at a time, with no quantitative view of how stores affect each other's sales or which mix maximises whole-mall performance.
ThinkCol built a tenant-mix optimisation platform on the operator's own CPI-normalised sales, lease, floor, and trade data. It quantifies halo and cannibalisation effects between tenants, forecasts each tenant's sales and renewal likelihood, and recommends the rent direction and trade type best suited to each vacant or expiring unit.
Recommendations optimise total mall sales and portfolio yield rather than any single unit's rent, are explainable back to the underlying data, and are available through role-based access across leasing and asset-management teams.
Why customise? Halo effects are specific to each mall's layout, trade taxonomy, and tenant base — interactions no generic benchmark or tool can model.
