Client:
Enterprise
A global software company with $5B+ in revenue, serving Fortune 500 enterprises with marketing solutions.
The Challenge
The client's enterprise sales team handled over 40,000 quotes annually, facing several issues:
- Manual processing of inbound pricing requests
- Inconsistent and subjective discounting
- Long turnaround times (2–3 days)
- Margin erosion due to over-discounting
Before Nanonets
Sales representatives would manually review each quote request, spending hours researching comparable deals in spreadsheets. Pricing approvals required multiple handoffs between sales reps, pricing analysts, and managers, creating bottlenecks. Without clear discount guidelines, reps often defaulted to maximum allowed discounts to close deals quickly, resulting in unnecessary margin loss. The 2.4-day average turnaround meant competitors frequently responded faster, leading to lost opportunities.
The Solution
The company deployed Nanonets to:
1. Ingest quotes from global business clients (emails, portals, PDFs)
2. Benchmark quotes against historical data by industry, region, and deal size
3. Recommend optimal discounts based on winning deal patterns and margin goals
The solution integrated seamlessly with Salesforce and internal pricing databases, enabling near real-time responses.
After Nanonets
Quote responses now flow back to customers within an hour, often minutes. The AI-driven system analyzes each incoming request against thousands of historical deals to pinpoint the optimal discount level that balances win probability with margin protection. Sales reps receive clear, data-backed recommendations that eliminate guesswork, while management gains visibility into expected win rates and margin impact. Only complex edge cases requiring exceptions are escalated for human review, freeing the pricing team to focus on strategic initiatives.