Nanonets reduces enterprise quote turnaround from 2.4 days to under an hour
The enterprise sales team manually processed over 40,000 quotes per year, spending hours researching comparable deals in spreadsheets, with multiple approval handoffs creating bottlenecks. Without clear discount guidelines, reps defaulted to maximum discounts causing margin erosion, and a 2.4-day average turnaround allowed competitors to respond faster and win deals.
Quote responses now flow back to customers within an hour, often minutes.
Sales reps receive data-backed recommendations that eliminate guesswork, management gains visibility into expected win rates and margin impact, and only complex edge cases are escalated for human review.
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Frequently asked questions
What did this team achieve with this AI workflow?
Quote responses now flow back to customers within an hour, often minutes.
What tools did this team use?
Nanonets, Salesforce, internal pricing databases.
What results were reported?
Annual quotes processed: over 40,000 quotes annually; Pre-automation turnaround time range: 2–3 days; Pre-automation average turnaround: 2.4-day average; Post-automation response time: within an hour, often minutes (source-reported, not independently verified).
How is this sales ops AI workflow structured?
Inbound quote ingestion → CRM and database integration → Historical deal analysis → Optimal discount recommendation → Edge case human review → Quote response delivered.