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Sale AI case studyAI Agent / Product Architect

A sales AI Agent for a 2k-dealer network.

ADG Sale AI optimizes the last-mile interface between dealers, sales teams, and SAP/CRM: image-based consultation, product comparison, quotes, orders, and 24/7 business lookup.

View Sale AI model
ADG Sale AI dealer conference product demo

Numbers

Case-study impact

2k C1/C2 dealers in the distribution network
<60s target quote and order creation time
5-15m previous point-of-sale response time
70-80% less consultation and quoting time
10-15% illustrative incremental revenue
6-9m estimated payback period

AI Agent layer

An AI Agent layer between people and core systems

The solution does not replace SAP/CRM. It acts as a natural-language interface that helps dealers and sales teams use data, technical documents, pricing, and ordering workflows at the point of sale.

01

Image-based consultation

Use customer images and context to recommend door lines, dimensions, materials, and configurations.

02

Product comparison

Compare options by budget, dimensions, needs, technical specifications, and installation context.

03

Quotes under 60 seconds

Generate fast, data-aligned quotes while reducing errors from manual multi-step work.

04

Orders under 60 seconds

Turn consultation into orders with synchronized data back to core business systems.

05

Business lookup 24/7

Retrieve sales, orders, technical documents, and policies based on each dealer’s permissions.

06

Human + AI governance

AI handles repetitive work while humans supervise recommendations, security, and final decisions.

Sales workflow

From sales pain points to a 2-minute closing flow

The deck frames the door industry pain points: diverse products, hard-to-remember price rules, error-prone consultation, and customers expecting instant responses. Sale AI compresses the workflow into: upload image, AI suggestion, 60-second quote, and order creation.

Image-to-quoteProduct comparisonQuote <60sOrder <60sDealer personalizationSAP / CRM bridgeTechnical documentsTraining assistantAI adoption KPIHuman-in-the-loop
Dealer app Site photo Budget / size / intent
Sale AI Product match Policy + price + spec
<60s Quote + order SAP / CRM synced

Proof

Board-level KPI & ROI

+5% conversion uplift

Illustrative scenario: conversion improves from 20% to 25% through faster response and standardized consultation.

3-5x first-year ROI

Estimated financial impact versus AI Agent investment cost in year one.

10 clients per dealer / day

Operating assumption used to quantify impact across a 2k-dealer network.

24/7 dealer support

Continuous business, technical, and training lookup personalized by dealer.

Sale AI translated into operating blocks

Sale AI Agent Layer
Input

Customer image & intent

Dealers capture the site, budget, dimensions, and sales context at the point of sale.

Agent

Sale AI consultation

The AI reads technical documents, pricing rules, policies, and sales history to recommend options.

System

SAP / CRM sync

Quote, order, and dealer-permission data stay governed by the core business stack.

Output

Quotes, orders, KPI

Sales teams and leaders track response speed, conversion, revenue, and adoption in real time.

01 Upload image
02 AI config suggestion
03 Quote <60s
04 Create order
05 KPI dashboard

Human-in-the-loop

Humans approve important recommendations while AI handles repetitive lookup and drafting.

Dealer permission

Each dealer only sees the data, policy, and pricing they are allowed to access.

Adoption rhythm

Track AI usage, response time, and conversion performance week by week.

Sale AI shows how I deploy AI in large enterprises: not by replacing ERP/CRM, but by optimizing the final customer-facing layer where speed, experience, and revenue are decided.

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