Demo case study — written to show how the page works while the real ones are being documented. Not a real client project.
Kelder Energy · 2026
An AI product advisor for industrial energy storage
A B2B site where buyers describe their load in plain language and get a specific system back — built on WooCommerce, with the technical library the recommendation reads from.
The brief
Industrial storage is sold on specifications most buyers cannot write. They know the factory load, the grid quality, and the budget — not which chemistry or how many cabinets. The catalogue was 60 SKUs deep and the enquiry form asked for a model number, so most enquiries arrived empty or wrong. We built the advisor that sits in front of it: the buyer describes the situation, the advisor reads the product data and the technical PDFs, and it comes back with two or three real configurations and the reason for each. Every recommendation links to a real product page, so nothing it says is unverifiable. Enquiries now arrive with a configuration attached, which is the difference between a lead and a quote.
What we delivered
- An AI product advisor that reads the catalogue and the technical documents
- A product catalogue with the client’s own fields, editable without touching code
- A full WooCommerce purchase path — cart, checkout, and order handling
- Inquiry forms that store to the database first and notify second
- A multilingual structure with the hreflang setup search engines need
Built on
- WordPress
- WooCommerce
- OpenAI API