ERPs are powerful storage engines full of valuable data, but they don't know how to sell. Sales reps often overlook promotions and management's sales strategies. The leadership loses control over discounting policies and upsell opportunities. How can AI help?

B2B AI is engineering, not magic. This guide outlines a pragmatic approach: hybrid architecture. You don't need to replace your systems. Instead, an intelligence layer is built on top of existing data to drive new sales, while remaining under the strict control of business rules: minimum margins, stock levels, technical compatibility, and permissions.

To achieve rapid revenue impact, we recommend selecting 2–3 sales modules from the 10 proposed in Ch. 3, such as: Smart Substitutes (replacements when out of stock), Cross-sell (increasing AOV with complementary products), or Intelligent Replenishment.

Company data is a gold mine, provided it is cleaned and correlated across ERP, CRM, e-commerce, WMS, and AI systems. This AI integration can be implemented on-prem.

There are two technically legitimate paths compared in this guide:

• ⚙ Build (Custom) — for companies with proprietary data that need control over the source code.
• ☁ Managed (Cloud Native) — for companies seeking rapid speed-to-market (2–3 months) by leveraging pre-trained technologies from Google.

How to Read This Guide

• CEO / Sales Director: Start with Ch. 1 (The "Why") and Ch. 3 (What We Deliver).
• CTO / IT Architect: Go straight to Ch. 2 (How It Works) and Ch. 4 (The Cookbook).
• CFO / Financial Director: Analyze the cost model in Ch. 5 (The "When").
• Those interested in emerging technologies can explore AI in B2B: What's New.