Business Scenario
An AI/ML solutions provider receives enquiries about proof-of-concept builds, model integration and consulting engagements through WhatsApp, Instagram and Facebook. A prospect asking about a custom recommendation model or a computer-vision pilot can easily be buried in a shared inbox, and without a shared pipeline the team cannot tell which enquiries came from a conference post versus a case-study share.
How Chronex360 Helps
- Capture and identify the lead: inbound WhatsApp, Instagram and Facebook conversations can create/update the customer or lead record and append the interaction to the communication history.
- Preserve the source: use Lead Sources, tags and channel information to segment proof-of-concept requests, model integration enquiries, retainer consulting interest, dataset/training-data questions and partnership leads and compare performance.
- Assign ownership: manually assign leads or use the configured round-robin lead-assignment strategy so the right ML engineer or solutions consultant owns the next action.
- Qualify faster: use WhatsApp Business API Chatflows for supported automated qualification, quick replies, forms, appointment/schedule steps, catalogue blocks and other configured automation; Instagram and Facebook messages remain visible for agent replies in the unified conversation workflow.
- Never lose the follow-up: create tasks and schedules against the lead, use status stages/Kanban views, and let overdue schedules become visible to the team.
- Keep one customer history: notes, calls, SMS, email and supported social messages can be seen in the lead activity timeline/omnichannel inbox.
How This Can Support Revenue Growth & Better Management
For an Artificial Intelligence & Machine Learning provider, the pre-sales team can capture the problem statement and use case at first contact, assign the enquiry to the consultant with matching domain experience, and use WhatsApp conversations to schedule discovery calls or proof-of-concept scoping sessions. Managers can separate exploratory chats from serious engagement requests and track how proposals are progressing.
The objective is to raise proof-of-concept-to-contract conversion, shorten the time to first technical call, improve consultant handoffs and give management clear visibility into pipeline by use case and industry. Chronex360 turns a model enquiry into a structured opportunity: it becomes a lead with source, owner, status, tasks, history and, when a package or licensed model is involved, an order.
For Artificial Intelligence & Machine Learning, the primary Chronex360 value is the CRM and engagement workflow: enquiry capture, consultant assignment, technical conversations, scheduled discovery calls and reporting. Providers offering packaged AI modules can use the catalogue/order capabilities selectively without forcing bespoke engagements into an e-commerce flow.
- A prospect describes a use case on WhatsApp, or DMs the business after seeing a case study on Instagram or Facebook.
- Chronex360 records the lead/source and makes the conversation available to the authorized pre-sales team.
- The lead is assigned to a consultant. A configured Chatflow can collect industry, data availability and project timeline before handoff.
- The consultant reviews the conversation, shares relevant capability information, and creates the next task/schedule for a discovery call.
- The lead moves through custom statuses such as New → Discovery → Proposal → Pilot → Won/Converted (the company can configure its own status options).
- Management reviews source, consultant workload, response-time and pilot-to-contract conversion analytics.
Implementation boundary: For proprietary training data, model weights or client datasets, keep sensitive technical assets outside general CRM conversations and follow the organization's security controls.
KPIs to Track in Chronex360
- Enquiries by use case/source
- Discovery-call booking rate
- First-response time
- Proposal follow-up adherence
- Pilot-to-contract conversion
- Pipeline by industry vertical