Commerce, product intelligence and revenue

Commerce systems that understand what customers mean—and help them buy.

AI-powered commerce systems for intent-based product search, recommendations, technical matching, quotations and intelligent merchandising.

Discuss This Engineering Problem
Digital commerce and delivery operation connected by product intelligence
Digital commerce and delivery operation connected by product intelligence

The operating challenge

Where the current system loses evidence or control.

Customers abandon buying journeys when catalogues are difficult to search, recommendations are irrelevant or technical products require expert interpretation. B2B teams also lose time converting requirements into accurate quotations.

Our engineering approach

The complete system—not an isolated model.

We connect catalogue structure, compatibility rules, customer intent, behavioural signals and commercial controls. The result is a buying system that supports discovery and quotation without taking authority away from product and sales teams.

Engineering sequence

From raw evidence to an accountable decision.

  • •Structure product knowledge
  • •Interpret customer intent
  • •Apply compatibility and commercial rules
  • •Learn from governed feedback

Complete system architecture

Input

Business + physical world

Acquire

Data + signals

Interpret

Models + software

Operate

Human + system action

Evidence becomes an operating decision.

Applications

Where this capability becomes useful.

  • •Intent-based and natural-language product discovery
  • •Personalised and complementary recommendations
  • •Technical product and compatibility matching
  • •Scientific-equipment recommendations
  • •RFQ and B2B quotation assistance
  • •Customer-behaviour and merchandising intelligence

Capability focus

Product intelligence for complex catalogues

Search can move beyond exact keywords to interpret purpose, specifications and constraints, while compatibility rules keep recommendations commercially and technically relevant.

  • •Natural-language catalogue search
  • •Technical product comparison
  • •Accessory compatibility
  • •Intelligent bundles
  • •Complementary products
  • •B2B purchasing assistance

Capability focus

Revenue workflows around discovery

A useful recommendation becomes an operational result when it can move into an RFQ, quotation, approval and structured follow-up process.

  • •Requirement capture
  • •RFQ generation
  • •Quotation preparation
  • •Sales-team routing
  • •Follow-up orchestration
  • •Conversion analysis

Connected environment

Built around existing systems.

  • Commerce platforms and catalogues
  • Inventory, pricing and compatibility rules
  • CRM and customer data
  • Payments, fulfilment and analytics

Intended value

•

Faster product discovery

•

More relevant buying journeys

•

Shorter quotation cycles

•

Better commercial visibility

Scientific equipment intelligenceBusiness automationSelected workAll services

Start with the problem

Have a business, scientific or engineering problem worth solving?

Tell us where your organisation is losing time, visibility, reliability, quality or customer opportunity. We will determine the complete system required to improve it.

Discuss your projectChat on WhatsApp

Project enquiry

hello@sentientengineering.com.ng

Send an overview of your business problem, current process and expected outcome.

WhatsApp or phone

+234 707 351 2305

Speak directly with our team about your project, automation opportunity or AI system.

Location

Lagos, Nigeria

We work with businesses in Nigeria and across Africa, with remote delivery available for suitable projects.