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.

Operational Architecture & Deep Dive

In production automation, reliability is never an afterthought. Every mission engineered for Billson Solar AI Sales System is designed around strict input validation contracts, bounded execution permissions, and deterministic error fallback channels. Unstructured data is parsed into schema-validated JSON before entering downstream business logic, preventing malformed payloads from corrupting state stores or generating cascading failures.

When integrating large language models with operational databases and third-party APIs (Custom web development, AI APIs, Ecommerce), workflows utilize prompt-injection filtering, deterministic routing, and transactional rollback mechanisms. Rather than treating failures as exceptions, the architecture explicitly models failure as a first-class execution path with automated retry policies and real-time alerting.

Evidence currently available

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

Technology used

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

Zero-Trust Governance & HarLyn Security Standards

Through HarLyn Digital Partners, all automated systems undergo zero-trust threat modeling, OWASP Top 10 vulnerability checks, and Kenya Data Protection Act (KDPA) compliance reviews led by CompTIA Security+ certified assurance engineers. API keys are vaulted with strict least-privilege scoping, preventing unauthorized data exfiltration or unmonitored external tool execution.

Evidence Verification & Authorized Review

Client-approved execution recordings, live production endpoints, sanitized payload schemas, and verifiable metric baselines are documented across HarLyn Digital Partners repositories. Teams seeking an in-depth operational audit can explore our fixed-fee 48-Hour Secure Digital Workflow Assessment.

Discuss a similar system← Return to mission archive

WhatsApp