---
title: "Solution Recommendation"
section: "Agent store — Sales — Sales Engineering"
canonical_url: "https://leverge.ai/agents/sales/sales-engineering/solution-recommendation"
category: "Sales"
process: "Sales Engineering"
trigger: "Run on demand"
publisher: "Ailoitte Technologies Private Limited"
---

# Solution Recommendation

Score which solution components actually fit a customer's requirements, by feasibility rather than by what would be nice to sell.

## At a glance

- Business function: Sales
- Process: Sales Engineering
- Runs: run on demand
- Run cost: 7 credits
- Uses a knowledge base: yes

## What it needs

- **Customer requirements** (text brief) — What they need, at what volume, with what constraints.

## How it works

1. Reading the component catalogue
2. Scoring component fit
3. Writing the recommendation

## What it returns

- **Components by feasibility** (breakdown table)
- **Recommendation** (markdown doc)
- **Requirement coverage** (verification checklist)
- **Cannot be met** (flagged exceptions)
- **Catalogue entries used** (references)

---

Source: https://leverge.ai/agents/sales/sales-engineering/solution-recommendation — Leverge