Parts list upload
Excel, CSV or pasted lines are read; Turkish or English headers are recognised, unreadable lines are listed with the reason, and a request number is opened.

In the system we developed for a B2B electronic components distributor, a parts list is uploaded and each line’s price, stock and lead time are queried from distributor systems; the team compares and approves, and the quote and order come out of the same flow. It is not live yet; it is a working prototype.
List, price research, comparison, margin, quote and order move forward in the same record. Today, rules and automated price research do the work; reading quote documents with AI is the next step.
Excel, CSV or pasted lines are read; Turkish or English headers are recognised, unreadable lines are listed with the reason, and a request number is opened.
Each line is queried in distributor systems in the background, returning price breaks, stock, lead time, minimum order quantity and packaging details.
A cheapest, fastest or balanced selection rule suggests a quote, taking minimum order rounding and shipping time into account; all quotes are shown side by side.
Your stock, purchase and sales prices sit next to distributor quotes; margin is added, and suitable lines are supplied straight from stock.
A quote PDF with a validity period is prepared from approved lines and sent by email; an accepted quote turns into an order in a single step.
Suppliers enter prices, lead times and documents in a Turkish or English portal; they do not see the end customer, competing prices or your sales price.
Price queries are queued in the background, results are written to a cache and each distributor’s query limit is respected. The screen shows the cached result; one distributor’s prices appear without waiting for another’s response.
Your customer or team uploads the list; columns are mapped, part numbers are matched against your catalogue, and ambiguous matches are resolved by hand.
With “Research”, lines join the queue; a background process queries distributor systems, and the responses fill the quote lines.
The rule marks the suggested quote; your team reviews the details, picks another quote or enters a price, adds the margin and approves the lines.
Once the customer accepts, your team converts the quote into an order; a procurement record is opened for lines short in stock, and each line is tracked until delivery.
First, we look together at how quotes are prepared today, where you get prices from and the fields specific to your industry.
The distributor systems you will use are connected under their own access terms, along with your stock data and supplier list; the flow is tested with sample lists.
The selection rule, margin tiers, who approves lines and who marks the order are turned into clear rules.
We follow the first quotes with your team; steps such as the supplier portal or AI document reading are added in a later phase.
No. We developed it for a B2B electronic components distributor; today it consists of a clickable prototype and modules running in a development environment. List upload, price research in distributor systems, the quote PDF and converting a quote into an order worked in this environment. A setup for you is planned as a separate project.
Today no AI model runs in the flow; automated queries fetch prices and fixed rules make the quote selection. The next step is to read PDF and email quotes from suppliers with AI and split them into lines. This step is added to suit your project; it is designed so that the extracted lines go through your team’s approval, and which service the documents go to is assessed separately under KVKK.
The development version worked by connecting to the APIs of global electronic components distributors. These connections are set up through the distributors’ developer programmes; they do not imply a business partnership. Manually entered quotes are added to the same table. The quote portal for your own suppliers is currently at prototype stage.
ERP and bank connections are not a ready feature today; in the prototype they exist only as sample screens. Which system stock, customer account and order data come from, and how, is examined in the discovery phase; the required connection is developed and tested specifically for the project.
The system was built around electronic component details such as part numbers, minimum order quantity, packaging and product lifecycle; it does not fit every industry as it is. The steps of list, price research, comparison, quote and procurement tracking are kept; the fields and rules are adapted to your industry.