TECHNICAL PARTNERSHIP PROPOSAL / 2026
A smoother DineEZ today.
A stronger foundation for tomorrow.
Your customers, waiters, kitchen, bar and station tablets depend on one connected experience. Let’s identify the bottlenecks, reduce unnecessary database reads and API calls, and prepare for more restaurants—without losing the workflows your teams rely on.
FRANKENSTEIN
01 / WE UNDERSTAND THE BRIEF
The question isn’t simply “can it load faster?” It’s whether every role sees the right information, at the right time, as more devices and restaurants join.
CUSTOMER JOURNEY
Trace menu loading, order submission and status updates. Check repeat fetches, payload size and the feedback shown when connectivity slows.
What we protectOne clear order acknowledgement. No duplicate submissions.
Based on your brief and the DineEZ public website . These are investigation areas—not confirmed defects or results from an app audit.
02 / THE HIDDEN MULTIPLIER
One screen refreshing is easy to overlook. Repeat it across every device and restaurant, and a small pattern becomes a capacity question.
Explore a simple polling illustration. It is not DineEZ telemetry, a cost estimate or a prediction of production capacity.
3 restaurants × 12 devices × (60 ÷ 15s). Assumes one request per refresh per active device. Database reads depend on endpoint behaviour and returned records; they are not equivalent to this count.
03 / THE PROPOSED APPROACH
Start with a bounded diagnostic engagement. Agree the next step from evidence, with a review gate between every phase.
01 / START WITH EVIDENCE
Map the current Base44 app, then reproduce representative restaurant journeys in an agreed test environment. Separate frontend rendering, network delays and backend/request pressure.
YOU RECEIVEAn evidence-backed audit and a scoped optimisation backlog.
You approve the findings and implementation scope before changes begin.
04 / WHAT MUST NOT BREAK
A quicker interface is only an improvement if the restaurant can still trust what it sees.
Test submit/retry behaviour, acknowledgement and status transitions. Reduce duplicate work without introducing duplicate orders.
Verify how changes reach every relevant screen. Avoid trading request reduction for stale kitchen or bar queues.
Review server-enforced restaurant and role access. Confirm data cannot leak between restaurants through queries or shared caches.
Use approved test data, backups where available, staged rollout and rollback. No unapproved load testing against live service.
05 / TANGIBLE WORK. CLEAR HANDOVER.
An audit should make your next decision easier. The implementation and validation phases then turn approved priorities into tested improvements.
Repeatable journeys, device mix, request counts, timings, errors and test conditions. Establish agreed targets after the baseline.
Evidence for each finding, its likely impact, effort, risk and recommended order. Quick wins separated from architectural decisions.
For the approved implementation phase: reviewed changes, regression checks, matched before-and-after results and remaining issues.
Tested scenarios, observed limits, capacity assumptions, monitoring signals, a rollout checklist and ownership of next steps.
Like-for-like comparisons: same workflow, device mix, dataset and load profile. Improvement targets and supported capacity are agreed after measurement, not invented in this proposal.
06 / HOW WE WORK TOGETHER
Frankenstein Creations proposes a hands-on technical partnership: understand the operational context, make the work visible and leave your team with decisions they can act on.
FRANKENSTEINA defined diagnostic scope before you commit to a larger optimisation programme.
BEFORE WE BEGIN
No migration is assumed. We start with the current app and assess what can be improved within its supported capabilities. If a platform constraint remains, we present the evidence, options, trade-offs and a separately approved scope.
An agreed walkthrough, authorised app/source and configuration access, a test environment or safe test copy where available, representative devices and anonymised sample data. Relevant request logs and usage information help where available. Use delegated, least-privilege access; do not send passwords or customer data through this proposal.
Not before profiling the app. We establish a baseline, agree acceptance targets, apply approved changes and report measured outcomes—including limitations and unresolved risks.
Agree the test scope and environment first. Review operational journeys with the client, use small changes, test across roles and devices, and approve a pilot, release window and rollback plan. Production load tests require explicit permission.
It is an invitation to discuss the work, not approval to access systems, change the app or spend money. Scope, deliverables, commercial terms, access and schedule are confirmed in a written agreement.
THE NEXT STEP / A FOCUSED DISCOVERY CALL
Walk us through one busy service. Show us where the friction is. We’ll agree the audit scope, the evidence to collect and what success should look like.
Discovery first. Written scope next. No live-system changes without approval.