Sales & lead management
The right offer at the right time: lead scoring, campaign and price recommendations.
Leads pile up in the CRM, yet sales cannot tell which are warm; campaigns go to everyone alike. Price and gift suggestions rely on gut feel, and opportunities go cold.
- 01Lead AI combines web, form and CRM signals; each lead is prioritised with an intent and fit score.
- 02The campaign agent produces personalised offers and gift suggestions from segment and past behaviour.
- 03The price-analysis agent reads competitor and stock data and proposes prices within margin rules.
- 04Warm leads are handed to a rep with a conversation summary; offers above the discount threshold go to approval.
- Sales focuses on the leads most likely to convert
- Personalised campaigns lift conversion and basket size
- Proactive rather than reactive sales: contact before the opportunity cools
This solution in the agent library
Sales lead qualification
Inbound leads enriched, scored and in the CRM within seconds; the SDR starts the call with a context brief.
Plan upgrade advisor
Usage analysed, the right plan offered with a comparison; on acceptance the change provisions instantly.
Review response and quality escalation
Reviews classified and answered in brand tone; recurring defects joined with return data and escalated to QA.
Product Q&A assistant
Size, compatibility and spec questions answered from catalogue and return data; stock and price verified.
Time to move from experimenting with AI to transforming with it.
In a 30-minute discovery session we take your 2–3 priority business problems, show a live demo of a similar scenario, and draft a roadmap that starts with the Value layer.
- Your 2–3 priority problems
- Live demo of a similar scenario
- Roadmap starting with value analysis