Clearer operations, seen from the floor.

AMNI moved from switching between separate systems to a clearer view of how demand could affect staffing, stock and revenue, giving the team more confidence before service.

Quay gained a more useful view across service, team performance, costs and guest behaviour, reducing spreadsheet work and supporting faster decisions during service.

Parivaar began seeing busy periods earlier, helping staffing, preparation and stock decisions feel more aligned before peak service.

Tropical used clearer demand signals to match staffing more closely to service needs, improving productivity while protecting the guest experience.

Mendhi gave managers a simpler operating view, reducing time spent gathering information and increasing the time available to run the shift.

Bhajis reduced manual reporting and gave managers and teams a more consistent view of the business, strengthening communication around service.

Smashbox used earlier signals around staffing, covers and margin to respond while issues were forming rather than reviewing them after the shift.

Spice Blu developed a clearer view of ordering patterns, waste and cost changes, supporting tighter purchasing control and better margin conversations.