Reports are assembled manually
Data is exported from several systems, merged in spreadsheets and arrives late.
Systematic business automation
We design automation and management analytics for manufacturing, logistics and B2B sales. We start with the process and a measurable outcome - then connect data, roles and interfaces.
In the first meeting, we define the process, data sources and the scope of the first solution.
When one system is needed
Automation matters when the gap between data and action already affects speed, errors and manageability.
Data is exported from several systems, merged in spreadsheets and arrives late.
Statuses, checks and handoffs depend on messages, memory and local files.
CRM, ERP and industry services store different versions of the same data.
Without a shared data model and rules, recommendations cannot become part of the workflow.
What we design
A consistent route from reliable data to managed action, not a set of disconnected implementations.
We connect sources, normalize data and define a single exchange logic.
We move rules, roles and statuses into one interface without manual gaps.
We build metrics that expose deviations and support decisions.
Published cases
Mobile app, real-time flight board, Manifest interface, verification, inventory and rentals.
Orders, sales, ads, profit, storage, penalties and SKU analytics in one system.
Intelligent carrier loading, transparent client service and auction-based contractor selection.
How a project starts
Before estimating delivery, we align on process boundaries, data and outcome criteria.
Discuss the first scopeGoal, participants, current systems, manual operations and constraints.
Sources, owners, data quality and exchange rules.
Users, scenarios, outcome and acceptance criteria.
Stages, dependencies, risks and a realistic delivery estimate.
Working principles
Roles, permissions, load, modular growth and support are built into the solution.
We define owners and metric rules so reports do not contradict each other.
Acceptance criteria describe a working scenario and measurable effect, not a screen count.
The essentials
With a process review: people, systems, sources, manual operations, constraints and an outcome metric.
Not necessarily. The new layer can connect existing systems through APIs and data exchange.
Yes. The audit defines one process, clear users, available data and a measurable criterion.
Published cases use 1C, BITRIX24, Wildberries API, Wialon, maps, spreadsheets and industry services. The exact set depends on your architecture.
Next step
Describe the current situation: participating systems, where delays occur and what result matters to the business.