Mission 01 / Commerce

Billson Solar AI Sales System

Public production system

A solar ecommerce experience with guided product discovery, an AI assistant, and a connected buying journey.

DemonstratedIn the live chat, a plain-language business need returns a specific product recommendation — a Jinko Solar 550W monocrystalline panel at Ksh 11,000, with efficiency and durability notes.

The problem

Solar buyers need help translating budget and energy needs into a practical product choice without getting lost in a technical catalog.

My responsibility

Built the ecommerce experience and integrated the AI sales-assistant workflow described in the supplied project portfolio.

Evidence

Screenshots from the live system and the workflow itself — captions describe only what is visible.

System route

The architecture below is a readable abstraction of the documented workflow, not a simulated live execution.

  1. Capture the buyer's requirements
  2. Retrieve relevant products and system context
  3. Return a guided recommendation
  4. Move the buyer into the catalog and cart journey

Reliability notes

  • Public claims are limited to features visible on the live storefront or documented in the supplied portfolio.
  • Sizing, pricing guardrails, usage metrics, and assistant internals remain pending evidence review.

Evidence currently available

  • Live ecommerce catalog
  • Public cart actions
  • AI-assistant entry point

Technology used

  • Custom web development
  • AI APIs
  • Ecommerce
  • API integrations

Evidence still being recovered

Client-approved metrics, execution recordings, exact delivery dates, and sanitized implementation artifacts will be added only after verification. This dossier deliberately avoids unsupported impact claims.

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