The full answer
The sales team had been tracking hundreds of leads across spreadsheets and email threads. Ownership was ambiguous, follow-ups depended on individual habit, managers had no live view of the pipeline, and customers who had bought entered a support black hole with complaints and warranty claims handled over email.
The before-sales module captures every lead into one database with duplicate detection, a structured intake form and a full activity timeline. Reps work a pipeline in Kanban or list view through New, Contacted, Qualified and Closed, with automated reminders when follow-ups fall due and overdue items surfaced in a priority queue.
The after-sales module continues the same customer record past the close: complaint management with an owner and SLA for every ticket, warranty tracking and structured resolution workflows. The AI module analyses demand signals by geography and category to show where high-intent regions are, scores leads predictively and recommends where to target ad spend.
The platform runs on React and TypeScript, Node.js, Python with the OpenAI API and custom models, PostgreSQL and Redis on AWS, with role-based dashboards for reps, managers, admins and support. Launch included migration from spreadsheets and team training. Read the case study, or ask Creuto about a CRM built around how your team actually sells.