Planning and scheduling
What happens if another order comes in?
Change the volume, compare the hours required with available staffing, and see which part of the plan needs reviewing.
Custom applications · Built around your team
If your working day depends on copied cells, extra tabs and knowing which file is current, there may be a better way. Build a focused planning tool, portal or operational screen that fits the job.
Discuss your applicationPut it in the context of your work
Different businesses. Familiar problems. Here are a few useful places to start.
Planning and scheduling
Change the volume, compare the hours required with available staffing, and see which part of the plan needs reviewing.
Operations management
Give each role the records and actions it needs. Keep updates attached to the work instead of scattered across inboxes.
Customer or supplier coordination
Scope a controlled portal for requests, documents or progress updates, with the access rules designed around the users.
The problem
A plan lives in one spreadsheet. Actual results come from another system. Staff requirements are calculated elsewhere. People copy the same information between tools and lose track of which version is current.
A custom application can connect the relevant information and give each person a clear view of the work they need to do.
What we can build
How it works
We map the users, the information and the steps the application needs to support. A first version focuses on the core workflow, with access rules and data handling included in the design.
Testing uses realistic tasks rather than only checking whether the screens look right. The handover covers the application, its dependencies and options for maintaining it.
How this service works
A packing team needs to see whether next week’s orders fit its available hours.Follow the example through five stages, with a clear output at each step.
01Understand
We follow the spreadsheet, the copied inputs and the decisions made from it. We ask who edits the plan, which values change and where a missing or outdated input can mislead the team.
A workflow map, input inventory and user roles.
02Agree
The first planner uses units, handling time and actual available hours. Four minutes per unit and 32 hours per person make the workload visible. We agree validation, account access and the delivery scope.
A focused screen specification and calculation rules.
Payroll, shift scheduling and stock control need their own agreed scope.
03Build
The team reviews a working planner with editable demand and staffing. Required hours and capacity update together, making it easier to discuss the gap instead of rebuilding the spreadsheet.
A reviewable planning screen and validated inputs.
Does this view make the next decision clearer for the person using it?
04Test
We verify known workloads, demand above capacity, input limits and relevant access controls. A useful planner should explain a shortfall clearly and keep invalid inputs out of the calculation.
Calculation checks, input validation and user-flow results.
1,200 × 4 ÷ 60 = 80 hours required; 3 × 32 = 96 available.
05Hand over
The team learns how to enter the plan, interpret the result and update agreed assumptions. The handover covers hosting, accounts, data ownership and any ongoing support arrangement.
A user guide, assumption record and ownership plan.
Entering demand, updating staffing and interpreting the capacity result.
Handling time, available hours, input ownership and storage requirements.
Hosting, access, maintenance and the separately agreed support route.
Maintenance and continuing support are agreed around the project.
See the wider approach to scope, collaboration and handover.
How we work togetherA few useful answers
Yes. React and JavaScript are part of Karol's practical development experience. We inspect the codebase and current architecture before agreeing changes.
Often, through a suitable API or integration. Access, performance and the data's structure need to be considered.
That is a discovery question. If a suitable existing product solves the problem well, custom development may not be necessary.
Potentially. A clear data model, permission system and API make it easier to evaluate a useful AI feature without rebuilding the whole application.
The next useful conversation
Show us the spreadsheets, screens or steps that make the job harder than it needs to be.
Discuss your application