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Generative AI > Google Gemini API > Quote Generation Agent

Quote Generation Agent

Author: Venkata Sudhakar

Generating accurate sales quotes at ShopMax India used to take 30 minutes - a salesperson had to look up product prices, apply the right customer-tier discount, check stock availability, and format the document. A Quote Generation Agent does all of this in seconds, producing a structured quote ready for customer review.

This tutorial builds a Quote Generation Agent using Google ADK and Gemini 2.0 Flash. The agent looks up product pricing, applies tier-based discounts, checks if a manager approval is needed for large deals, and outputs a formatted quote summary.

The below example shows the Quote Generation Agent building a quote for a bulk order from a retail chain in Bangalore.

from google.adk.agents import Agent
from google.adk.tools import FunctionTool
from google.adk.runners import Runner
from google.adk.sessions import InMemorySessionService
from google.genai.types import Content, Part

# Product catalogue
CATALOGUE = {
    "LPT-001": {"name": "Dell Latitude 15 Laptop", "list_price": 68000, "stock": 45},
    "PRT-002": {"name": "HP LaserJet Pro Printer", "list_price": 22000, "stock": 12},
    "MON-003": {"name": "LG 24-inch Monitor", "list_price": 14500, "stock": 80},
    "UPS-004": {"name": "APC 1KVA UPS", "list_price": 8500, "stock": 30},
}

# Customer tier discounts
TIER_DISCOUNTS = {"platinum": 0.18, "gold": 0.12, "silver": 0.07, "standard": 0.03}

def get_product_price(sku: str, quantity: int, customer_tier: str) -> dict:
    """Look up price for a product SKU and apply tier discount."""
    if sku not in CATALOGUE:
        return {"error": "SKU not found: " + sku}
    product = CATALOGUE[sku]
    discount_pct = TIER_DISCOUNTS.get(customer_tier.lower(), 0.03)
    unit_price = product["list_price"] * (1 - discount_pct)
    line_total = unit_price * quantity
    in_stock = product["stock"] >= quantity
    return {
        "sku": sku,
        "name": product["name"],
        "list_price": product["list_price"],
        "discount_pct": int(discount_pct * 100),
        "unit_price_after_discount": round(unit_price),
        "quantity": quantity,
        "line_total": round(line_total),
        "in_stock": in_stock,
        "available_stock": product["stock"]
    }

def check_approval_required(total_value: float, customer_tier: str) -> dict:
    """Check if deal requires manager approval."""
    # Deals above Rs 5 lakh need approval unless customer is platinum
    threshold = 700000 if customer_tier.lower() == "platinum" else 500000
    requires_approval = total_value > threshold
    return {
        "requires_approval": requires_approval,
        "threshold_rs": threshold,
        "approver": "Regional Sales Manager" if requires_approval else None
    }

price_tool = FunctionTool(func=get_product_price)
approval_tool = FunctionTool(func=check_approval_required)

quote_agent = Agent(
    model="gemini-2.0-flash",
    name="quote_generation_agent",
    instruction="""
        You are a Quote Generation Agent for ShopMax India.
        When given a list of products, quantities, and customer tier:
        1. Fetch pricing for each line item using the price tool
        2. Calculate the grand total across all line items
        3. Check if approval is required for the total value
        4. Output a formatted quote with:
           - Customer name and tier
           - Line items (SKU, name, qty, unit price, line total)
           - Grand total in Rs
           - GST at 18% and final amount
           - Approval status and validity (30 days)
           - Stock availability warning if any item is low
        Format as a clean table-style text quote.
    """,
    tools=[price_tool, approval_tool]
)

session_service = InMemorySessionService()
runner = Runner(agent=quote_agent, app_name="quote_gen", session_service=session_service)

session = session_service.create_session(app_name="quote_gen", user_id="sales_rep")
prompt = """
    Generate a quote for:
    Customer: Bangalore Retail Chain Pvt Ltd
    Customer Tier: Gold
    Items:
    - LPT-001 x 10 (laptops)
    - MON-003 x 10 (monitors)
    - UPS-004 x 5 (UPS units)
"""
message = Content(role="user", parts=[Part(text=prompt)])
for event in runner.run(user_id="sales_rep", session_id=session.id, new_message=message):
    if event.is_final_response():
        print(event.content.parts[0].text)

It gives the following output,

SALES QUOTE - ShopMax India
============================
Customer : Bangalore Retail Chain Pvt Ltd
Tier     : Gold (12% discount applied)
Date     : 08-Apr-2026 | Valid for 30 days

Line Items
SKU      Name                     Qty  Unit Price    Line Total
LPT-001  Dell Latitude 15 Laptop  10   Rs 59,840     Rs 5,98,400
MON-003  LG 24-inch Monitor       10   Rs 12,760     Rs 1,27,600
UPS-004  APC 1KVA UPS              5   Rs  7,480     Rs   37,400

Subtotal (excl. GST) : Rs 7,63,400
GST @ 18%            : Rs 1,37,412
Grand Total          : Rs 9,00,812

Approval Required: YES
  Deal value exceeds Rs 5,00,000 threshold.
  Approver: Regional Sales Manager

Stock: All items available.

The Quote Generation Agent eliminates manual spreadsheet lookups and ensures pricing accuracy every time. Extend it to generate a PDF quote, send it via email, and log the quote in your CRM automatically. Add time-based expiry reminders so the agent nudges the customer before the quote lapses.

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