# Construction and building materials

> In construction and building materials, AI saves the most time on quotes, technical documents and orders. Corrplus builds tools that turn bills of quantities into draft quotes, assistants that answer from product data sheets, and workflows that move dealer orders into the ERP, for distributors, manufacturers and renovation firms working in Türkiye.

URL: https://corrplus.net/industries/construction-building-materials/
Updated: 2026-10-22
Corrplus Team

## Challenges

- Turning specifications and bills of quantities from architects and contractors into product codes takes days.
- Data sheets, certificates and installation guides sit in different folders; sales answers the same questions again and again.
- Dealer and site orders arrive by WhatsApp, phone and email and are typed into the ERP by hand.
- Renovation requests come with scattered photos, measurements and addresses, so booking a site visit drags on.
- Tracking public and private tenders and checking whether you qualify is a steady workload.

## Where it helps

- **Quote drafts from specifications**: A helper that reads a PDF or Excel bill of quantities, matches line items to your catalogue and produces a draft quote for a sales specialist to approve.
- **Data sheet assistant**: A RAG assistant on your website or for internal use that answers from data sheets, test reports and installation guides and cites the source.
- **Dealer order automation**: A workflow that reads orders sent by WhatsApp Business or email, checks stock and posts them into Logo, Mikro, Netsis or another ERP.
- **Renovation request intake**: An assistant that sorts photo-based requests from web forms and WhatsApp, asks for missing details and books the site visit.
- **Tender monitoring**: An agent that filters notices on EKAP, Türkiye's public procurement platform, and private tenders by product group and sends a summary to the right person.

## Clients in this sector

- Mineteko
- LX Hausys (HFLOR)
- Kılıç Tadilat
- Abayapı
- Onsera

## Where does the time go in this sector?

In building materials, sales and technical knowledge go hand in hand. An architect asks about the fire rating of a floor covering, a contractor about an installation detail, a dealer about stock. The answers usually sit inside a PDF or in an experienced employee's memory.

The second big item is quoting. An incoming bill of quantities does not speak your product codes; someone has to match it line by line. The third is moving orders from the channel into the system. All three start with documents and messages, the kind of input AI reads well.

Much of the knowledge in this sector comes from manufacturers and changes often. A new product line, a revised certificate or an updated installation detail usually reaches sales by email and gets lost. A document assistant uses the current data sheet as its single source, which lowers the risk of answering from outdated information.

## Which task, which tool?

| Task | How it is done today | With AI and automation |
|---|---|---|
| Quote from a bill of quantities | Line-by-line matching in Excel | Model suggests matches, specialist approves |
| Technical question | Search the data sheet or ask a senior colleague | RAG assistant answers with sources |
| Dealer order | WhatsApp message typed into the ERP | n8n workflow reads it and posts to the ERP |
| Renovation request | Details completed by phone | Assistant asks for missing info, books the visit |
| Tender tracking | Notices scanned by hand | Agent filters and summarises |

In every row, decisions stay with people. Automation gathers and prepares the information; your team sets the price, confirms technical fit and approves the order.

## How do we start?

In the first call we review a few recent quotes and the questions you hear most. For most firms the fastest result comes from connecting data sheets to an assistant or automating dealer order entry. Where request forms collect personal data, we settle retention and access during design with your legal counsel, under KVKK, Türkiye's data protection law, and, for EU contacts, GDPR.

We also work on the website side. A well-structured product catalogue is what lets both visitors and AI assistants find the right information. See our [WordPress and web development](/services/wordpress-web-development/) page, or ask for a discovery call directly.

## Frequently asked questions

### Our catalogue has thousands of items. Can AI match them correctly?

Not always on its own. The model proposes the most likely matches, flags the ones it is unsure about, and your sales specialist decides. The cleaner the catalogue, the better the suggestions.

### Our field team is not used to new software. What changes for them?

As little as possible. They keep sending orders on WhatsApp; the workflow reads the message in the background and records it. We connect to the channel they already use instead of teaching a new app.

### Can an assistant work with the product pages on our website?

Yes. On WordPress sites, Promptor or a custom RAG assistant can answer visitor questions from product pages and data sheets.