Anonymous example of organization and process.
Leads from forms, campaigns, landing page and emails were sent to different people without a common process, and traders manually supplemented CRM and reminders.
Lead from the form goes to CRM, gets status, and the trader sees the task and context of the conversation.
Leads from forms, campaigns, landing page and emails were sent to different people without a common process, and traders manually supplemented CRM and reminders.
There was a lack of control of response time, lead status, contact history and automatic follow-up, so some of the queries didn't have the owner or the bright next step.
The most important difference is not the technology itself. The team moves from manual arrangements, sheets and messages to a process with clear statuses, inputs, case ownership and a place to check for exceptions.
The scope of modules can be narrowed down to MVP or expanded in subsequent stages after testing with users.
The form module organizes data, statuses and responsibilities in the model process.
The crm module organizes data, statuses and responsibilities in the model process.
The lead scoring module organizes data, statuses and responsibility in the model process.
The follow-up module organizes data, statuses and responsibility in the model process.
The task module organizes data, statuses and responsibilities in the model process.
The report module organizes data, statuses and responsibility in the model process.
We map the current course of work, data sources, roles, exceptions and place of manual copying.
We establish statuses, rules, human responsibility, input data, integrations and reception criteria.
We show the first layout of screens, modules and flow before the full implementation range is created.
We build the most important part of the system that can be tested on actual customer data.
We combine the application with API, exchange files, databases, accounting systems, CRM, BI or automation.
After the tests we start production, monitor the process and plan further modules.
In any similar project, automatic steps must be separated from human decisions. Thanks to this, the system helps reduce manual work, but does not hide errors, exceptions and responsibilities.
Determine which data is primary and how we handle missing data, duplicates and inconsistencies.
Each case should have a stage, a responsible person and a clear moment of reaction.
Integration, import, AI or automation errors should be visible in the dashboard or report.
High-risk steps, financial documents and contentious decisions require human approval.
Yes. It is safest to start with one MVP process, confirm data and add automation, AI, reports or subsequent integrations later.
No. These are cautious, model examples for verification. The actual effect depends on the quality of the data, the scale of the process, the team, integration and the way of maintenance.
Just a description of the current process, tools, volume of cases, exceptions, decision-makers and expected results of the first stage.
SmartCodeIT can help you design your process, prepare MVP and implement an application tailored to your organization. We start with a short conversation about data, tools, exceptions and business purpose.