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Last updated: 12.03.2026
Executive brief

Recommendations, Upsell, and Rules: From Algorithms and Guardrails to the Launch of UCP

Most ERPs are storage engines, not sales engines. Sales agents forget promotions and management's sales strategy. Management loses control over price ceilings or upsell opportunities. Learn how artificial intelligence can increase B2B sales using recommendation algorithms and essential business rules (guardrails).

Foreword

Marian Călborean

"I wrote this guide for entrepreneurs and sales directors who have gone through an ERP implementation, moved forward, and now want to scale. For IT directors who have built infrastructures from scratch and want to adapt them. For financial directors who need to justify innovation spending. For architects who need arguments before the board.

In B2B, AI is not magic, but engineering, with data, measurement, and rules. I believe the realistic path towards wide-scale AI implementation in B2B is the hybrid architecture presented in this guide."

Marian Călborean

Founder of OPTI Software. PhD in Logic. Fulbright Visiting Scholar 2023

Economic Impact

+40%
Extra Revenue

Companies that excel at personalization (McKinsey).

75%
B2B Expectations

Business customers wanting proactive offers.

+22%
Performance

Sales growth for assisted junior agents.


See AI performance indicators in sales

Explore the guide

Chapter 1
Why AI?
The problem: "The ERP is not a sales engine". `Brownfield` context and the retirement cliff crisis.
Read the Business Case
Chapter 2
How does it work?
Recommendation generations and deep learning. Goals and KPIs. Build vs. managed. Guardrails and the data contract.
See the Technology
Chapter 3
What can be built?
Deliverables built for B2B sales.
Agent copilots
Smart bundles
Substitutes
Re-order
See all Deliverables
Chapter 4
Cookbook (Code)
Project implementation steps. Python and SQL snippets, configurations for Google Vertex AI Search for commerce.
See the Code
Chapter 5
When and with what resources?
Team structure, required resources, budget, and Google Cloud assurances. Plus: our methodology.
See the Cost Structure
AI News
Future: Agentic AI
UCP launch in Jan 2026, new AI technologies maturing, and how companies can adapt.
See AI Updates
Resources
Resources & Glossary
Glossary (AI, business, software) + bibliography, whitepapers, and useful links from the guide.
See Resources
Gallery
Choose an AI topic
Explore role-based resources (CEO, Business, etc.) in a thematic gallery
Choose Role & Topic

How does AI + rules work?


Diagram: Preview of AI decision pipeline in sales

COMPLETE PRODUCT CATALOG (e.g. 1 million)
          │
          ▼
STEP 1: RETRIEVAL/GENERATION (High speed, wide coverage)
"Find 500 similar products"
(Vector search + lexical filters)
          │
          ▼
CANDIDATES (e.g. 500 products)
          │
          ▼
STEP 2.1: SCORING / RANKING (Medium speed)
"Top items by purchase probability (pCVR)"
(Deep Learning neural network)
          │
          ▼
STEP 2.2: RE-RANKING AND RULES (Fast)
"Remove zero stock and low margin"
(Post-processing via guardrails)
          │
          ▼
FINAL RESULT (e.g. 3 recommended products)

Fig 0.1: Preview of AI decision pipeline in sales. Finding candidates, ranking with AI, applying business rules

See the Tech: Deep Learning

What does a hybrid architecture look like?


Middleware as a single source of commercial truth, isolated for security

       INTERNAL DATA ZONE                    MIDDLEWARE ZONE             AI ZONE
 ┌─────────────────────────────┐     ┌─────────────────────────────┐     ┌─────────────────────────────┐
 │ 1. DATA SOURCES             │     │ 2. DATA HUB & SYNC          │     │ 3. Vertex AI (Search +      │
 │                             │     │                             │     │    Search for commerce,     │
 │ ┌───────────┐ ┌───────────┐ │     │ ┌─────────────────────────┐ │     │    Model Garden)            │
 │ │ ERP       │ │ FILE SRV  │ │     │ │ Fast database           │ │     │ ┌─────────────────────────┐ │
 │ │ (Master)  │ │ (PDF/Docs)│ │     │ │ (Cache)                 │ │     │ │ Vectors                 │ |
 │ └─────┬─────┘ └─────┬─────┘ │     │ └────────────┬────────────┘ │     │ │ Index                   │ |
 │       ▼             ▼       │     │              ▼              │     │ └────────────▲────────────┘ │
 │ [Secure unidirect. Sync]    │────>│ [Filtering & sanitization]  │     │              │              │
 └─────────────────────────────┘     │              │              │────>│ [Ingestion (public only)]   │
                                     │              ▼              │     │                             │
                                     │ ┌─────────────────────────┐ │     │ ┌─────────────────────────┐ │
                                     │ │ API Gateway             │ │<────│ | Model / LLM            | │
                                     │ │ (Combine Internal + ERP)│ │     │ | (RAG & Processing)      | │
                                     │ └────────────▲────────────┘ │     │ └─────────────────────────┘ │
                                     └──────────────┼──────────────┘     └─────────────────────────────┘
                                                    |
                                                    ▼
                                       ┌──────────────────────────┐
                                       │ 4. Applications          │
                                       │    (Quoting / Chatbot)   │
                                       └──────────────────────────┘

Fig 0.2: Middleware as a single source of commercial truth, isolated for security

See how it Combines AI intelligence with On-prem Data

What does a concrete application look like?


Smart replacement engine for unavailable products (Smart Substitutes)

     USER APPLICATION                  STOCK CHECK (ERP)                   AI VECTOR SEARCH
┌─────────────────────────┐       ┌───────────────────────────┐       ┌───────────────────────────┐
│ Search SKU: A-100       │ ─────>│ Stock query:              │ ─────>│ IF stock == 0 THEN        │
└─────────────────────────┘       │ "A-100" = 0 pcs           │       │ Search neighbors:         │
                                  └───────────────────────────┘       │ "Close matches found:     │
                                                                      │  B-200, B-30, B-13"       │
                                                                      └─────────────┬─────────────┘
                                                                                    │
                                                                                    ▼
                                  ┌───────────────────────────┐       ┌───────────────────────────┐
                                  │ FINAL ENRICHMENT:         │       │ DETERMINISTIC RULE:       │
                                  │ "A-100 unavailable        │ <──── │ Only B-30 meets spec.     │
                                  │  Replacement: B-30        │       └───────────────────────────┘
                                  │  (80 pcs)"                │
                                  └───────────────────────────┘

Fig 0.3: Smart replacement engine for unavailable products (Smart Substitutes)

See Ten Deliverable Projects

About this guide

This guide is designed to be read selectively, depending on your role in the company. The table of contents for each chapter indicates our recommendation per section: Business Sales Tech Product. A technical reader can skip directly to Chapters 2 (How?) and 4 (Cookbook), while a sales director can start with Chapter 1 (Why?) and then skip to Chapter 3 (What?). The financial director can go directly to Chapter 5 (When?).

OPTI Software is a Google Cloud and HubSpot partner. This guide represents the opinion and methodology of OPTI Software and has not been supported or approved by Google.

The guide is part of the AI in B2B 2026 series, created by OPTI Software. First published date: 21st of January 2026. All rights reserved.

Sign up for the complete PDF manual

The reference manual will also be available in a complete PDF version. You will receive the PDF via email 48 hours before the official launch (aprox. 26th of March 2026). OPTI Software sends exclusive Tech & Biz news once a month.

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