Multi-platform food order management
RaftLabs co-built Gula to normalise orders from three delivery platforms and route them to restaurant POS and kitchen workflows. Results are specific to that product.
Restaurant Automation Software Development
We automate a bounded restaurant workflow across channels, menus, orders, acknowledgements, kitchen handoff, fulfilment, inventory events, suppliers, labour data, payments, exceptions, and reconciliation. The operator, POS and delivery vendors, payment providers, accountants, food-safety leads, and advisers own menu, pricing, tax, allergens, staffing, purchasing, service, safety, and legal decisions.
Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.
The brief
Good software decisions begin with the constraint, not a list of features or a preferred technology.
Do channel orders, POS tickets, kitchen state, stock movements, refunds, and daily totals disagree after a busy service?
Can managers see which integration, rule, person, or exception changed an order, ingredient, supplier request, shift, or settlement?
Plain answer
Restaurant automation connects order channels, POS events, kitchen handoff, fulfilment, inventory, suppliers, labour data, payments, and reconciliation. It should expose exceptions rather than automate judgement blindly. RaftLabs delivered Gula for multi-platform order consolidation and scopes one restaurant workflow first, starting at $30,000 over 10 to 14 weeks.
A delivery platform retried its webhook, the integration created a second POS ticket, and the kitchen dismissed one as a duplicate. Settlement still counted both. The automation needed a shared event key, explicit acknowledgement, visible exceptions, and reconciliation from source order through kitchen and payment state.
Published restaurant delivery
These results belong to Gula, an Indonesian B2B product that consolidated GrabFood, GoFood, and ShopeeFood orders and handed them to existing POS and kitchen systems. They do not forecast another restaurant, geography, vendor stack, error rate, adoption, margin, labour, waste, safety, or revenue outcome.
Proof
RaftLabs co-built Gula to normalise orders from three delivery platforms and route them to restaurant POS and kitchen workflows. Results are specific to that product.
Grubly demonstrates menu, QR ordering, payments, live order state, and kitchen-display delivery. It is adjacent to operations automation, not proof for every integration.

A US healthcare client needed more than video calls. We built Galen, a nurse-assisted HIPAA-compliant telehealth platform where a clinic nurse operates diagnostic peripherals while a remote doctor directs via body diagram and issues e-signed prescriptions. In-person visits dropped 60%. Patient engagement increased 30%. 50+ clinics onboarded in 12 weeks.
Configure a supported platform when it already connects the workflow and carries the update and service burden.
A high-frequency order, kitchen, inventory, supplier, labour-data, payment, or reporting workflow crosses systems and creates measurable manual work.
Operations, kitchen, finance, food-safety, IT, privacy, security, accessibility, support, and product owners can approve release.
Exact vendor access plus representative peaks, duplicates, delays, refunds, outages, corrections, and reconciliation cases are available.
A supported POS, restaurant platform, integration marketplace, or simple configuration already covers the workflow reliably.
The process lacks a stable owner or baseline, or depends mainly on nuanced service, staffing, purchasing, or food-safety judgement.
The operator expects automation to guarantee sales, margin, labour savings, food safety, order accuracy, or vendor compatibility.
| Need | Best fit | Primary boundary |
|---|---|---|
| Customer discovery, menu, ordering, loyalty, and delivery experience | Restaurant app development | Customer-facing product and channel |
| Orders, tenders, and outlet record | Restaurant POS | Authoritative transaction and supported hardware |
| Cross-system restaurant operations | Restaurant automation | Events, rules, exceptions, writes, monitoring, and reconciliation |
| Hotel outlet charge to guest stay | Hotel F&B integration | Guest verification, PMS folio posting, reversal, and night audit |
Scope
How it works
Choose one workflow, sites, channels, systems, records, rules, exceptions, approvals, food-safety and finance boundaries, owners, current effort and error baseline, risks, and acceptance measures.
Test exact vendors, versions, API access, sample events, identifiers, menu and order states, duplicates, delays, rate limits, outages, permissions, settlement data, exports, and manual fallback.
Implement event capture, normalisation, approved rules, acknowledgements, queues, human review, writes, retries, role access, audit, one or two integrations, monitoring, recovery, and reconciliation.
Run normal and adverse scenarios through representative service periods, compare the baseline, reconcile records and money, test permissions, downtime, support, training, monitoring, and staged rollout.
Risk
Scope and price
Start with one high-frequency workflow, approved rules, visible exceptions, one or two proven integrations, a baseline, monitoring, and accountable owners.
Restaurant Automation owns internal cross-system operations. Use Restaurant App Development for customer-facing products and maintained POS or restaurant software when configuration fits.
Starting investment
Starts at $30,000
A focused release usually takes 10 to 14 weeks. Multiple sites, vendors, hardware, payments, forecasting, or broad process change increase scope.
No blanket compatibility or outcome guarantee
Exceptions stay visible
Restaurant App Development
Build customer-facing discovery, menu, ordering, loyalty, and delivery experiences.
Workflow Automation
Automate governed cross-system work beyond restaurant operations.
Invoice Processing Automation
Extract, validate, match, approve, post, and reconcile supplier invoices.
API Development
Create reliable event and data contracts between operational systems.
Good candidates have structured triggers, records, owners, outcomes, and frequent repetition: channel-order intake, POS or kitchen handoff, menu availability updates, stock events, supplier requests, invoice matching, approved labour-data handoff, daily reporting, and reconciliation. Food-safety, staffing, purchasing, pricing, and service judgement remain with accountable people.
Usually not. We first test the exact product, version, market, account tier, API or export access, authentication, events, writes, rate limits, certification, and vendor support. If a reliable path exists, automation can sit between systems. A named platform or past integration never guarantees compatibility with another account.
Agree a baseline before building: manual touches, handling time, duplicate or missing events, queue age, reconciliation effort, correction rate, and operational delay. Compare the same defined workflow after a controlled pilot. Revenue, margin, food waste, labour, customer satisfaction, and safety depend on wider operations and are not guaranteed.
Use idempotent events, explicit state transitions, validation, confidence or rule reason, bounded permissions, human approval for consequential changes, retry and dead-letter handling, visible exceptions, audit, reconciliation, monitoring, alerts, rollback, and a tested manual path. Start with one workflow before expanding.
A first release starts at $30,000 and usually takes 10 to 14 weeks. It covers one operational workflow, one location or bounded group, approved rules, exception handling, one or two proven integrations, monitoring, reconciliation, and handover. Multi-site data, several POS or delivery vendors, forecasting, hardware, payments, or broad process change increase scope.
Work with us
Share sites, channels, POS, kitchen, inventory, supplier, labour, payment, accounting, events, manual touches, errors, owners, access, and service constraints.