Customers and operating units
One place for customer data, regions, segments and operational ownership.
Operational challenge
When data and execution are fragmented, running a regular S&OP cycle becomes difficult.
Fragmented operational data
Information about customers, visits, surveys and results ends up across multiple files, emails and notes.
Limited control of field work
Visit plans, execution and statuses do not create one current view of delivery.
KPI from multiple sources
Indicators and reports are consolidated manually, so management response comes too late.
Weak review repeatability
Without one shared process it is harder to compare deviations, ownership and follow-up decisions.
How the process works
From data and execution to management decisions
Data and plan
The system gathers customer data, action plans, schedules and process checkpoints.
Visits and field work
The team carries out visits and operational activity through web and mobile workflows.
Execution updates
Statuses, surveys and notes go into one flow instead of being scattered across separate files.
KPI and deviations
Data is compared against KPI, plans and deviations that require a response.
Management review
Managers see reporting, ownership and the most important exceptions in one view.
Next S&OP cycle
Decisions and actions return to the next planning cycle instead of getting lost in emails and notes.
Some labels in the interface visual may appear in Polish because they come from the original working prototype.
What the solution covers
The scope is process-oriented: from operational data to reporting and management cycles.
Visits and field work
Planning, statuses and execution control for recurring field activity.
Surveys and operational data
Forms and surveys structure the information collected in the field and during operations.
KPI and monitoring
Indicators, deviations and execution monitoring support everyday process control.
Imports and data sources
Imports reduce manual rewriting and feed the process with shared data.
Reporting and management cycle
Reports, summaries and S&OP reviews rely on one current picture of execution.
Management information and operational value
Managers gain process control without adding another layer of manual administration.
The solution organises data and execution so operational decisions and management reviews can rely on one current view of the situation.
One current view of execution
Plan, visits, statuses and KPI are visible in one place.
Faster detection of deviations
It becomes easier to see gaps, delays and areas that need managerial response.
Less manual report assembly
Reporting no longer depends on rebuilding summaries from multiple files every time.
Better basis for S&OP decisions
Management cycles can rely on one shared process, ownership and data model.
Elistar competence
This example demonstrates competence in connecting process design, data organisation and an operational tool.
Operational process design
We start by organising roles, stages, statuses and ownership instead of starting from technology.
Applications for field and management work
The solution supports daily work for field users, web users and management reviews.
Data integration and organisation
We connect imports, forms and multiple data sources into one consistent information flow.
Dashboards, KPI and reporting
We build views that support control of execution, deviations and operational decisions.
Growth from process to application
The project can evolve from organising one process into a broader operating system.
Project type
Solution example — S&OP Operations Control
This is a solution example for companies that need to organise operational data, execution, KPI and management reviews without going back to manually assembled reports.
Possible next development directions
Management dashboards
Additional views for leadership, operations and sales focused on the most relevant KPI.
Possible next development directions
Deviation and missing-data alerts
Notifications about missing inputs, overdue actions and process exceptions.
Possible next development directions
Analytics and AI extensions
Analytics, recommendations and summaries introduced only on top of structured operational data.