Softobiz

QUICK SERVICE RESTAURANTS

Technology and data services for quick-service restaurants

We connect ordering, POS, inventory and workforce data so restaurant teams can respond during service. Our work includes the integration, data and operational engineering around AI-assisted ordering for national QSR operators in Australia.

  • AI-assisted ordering connected to restaurant operations
  • One data platform for every restaurant signal
  • Automation that frees crews to serve customers
INDUSTRY PRIORITIES

Connected operations across the restaurant estate.

Store teams need timely information across ordering, staffing and stock. We focus on the points where disconnected systems slow service.

01

Order handling

Voice, kiosk and counter orders need to reach the kitchen accurately, with a clear handoff when an order needs attention.

02

Store visibility

Managers need a consistent view of sales, stock and service across franchise and corporate locations.

03

Peak demand

Traffic forecasts, rosters and replenishment need to reflect the same store and daypart assumptions.

IN PRACTICE

From customer order to store decision.

ORDERING

An order needs clarification

An ordering assistant captures the request and checks the available menu. Ambiguous items or changes pass to a crew member before the order reaches the kitchen.

STORE OPERATIONS

Stock and demand move out of step

POS and inventory feeds inform demand forecasts by store and daypart. Managers review exceptions before adjusting replenishment or staffing.

ESTATE PERFORMANCE

A location needs attention during service

A shared operations view brings together throughput, wait times and store alerts. The responsible team can investigate the underlying signals and decide what to change.

BUILT FOR THE ESTATE, NOT THE PILOT

Rollout and reliability across the estate.

We plan deployment around your store types, channels and service patterns, with operational validation before each rollout stage.

Payment flows are designed to PCI-DSS controls, customer data stays within the permissions the customer granted, and the platform is observable enough that when something drifts at store level, your team can investigate and respond.

  • Engineered for peak load across the full estate
  • PCI-DSS payment flows with tokenized cardholder data
  • Consent-first loyalty and personalization
  • Store-level observability, estate-level rollups
WHY AN EMBEDDED TEAM

A team that retains your operating context.

Two national QSR chains run on one bench: Hungry Jack's across four workstreams, and another national QSR group through a dedicated capability centre whose pod already knows drive-through timing, loyalty mechanics, POS integration and franchise rollout.

That is the point of the model: engineers who learned QSR stay in QSR. You can also start narrow with a packaged conversational AI assistant and expand from there.

FREQUENTLY ASKED QUESTIONS

Questions about QSR technology.

We begin by reviewing your interfaces, data access and store workflows. The integration plan identifies what can be reused and where an adapter or system change is needed.

We define clarification and crew-handoff rules with your operations team. Menu availability, order changes and unsupported requests are part of the workflow design.

Yes. A bounded rollout lets your team evaluate service impact and support needs before deciding how to extend it across the estate.

NEXT STEPS

Discuss your restaurant technology priorities.

Tell us which part of the operation you want to improve. We can review the systems, data and rollout approach with your team.