Developed a B2B platform for Wildberries sellers

We developed a B2B marketplace for Wildberries sellers that significantly reduces their costs.

qaztrade

01

Create a convenient B2B marketplace for Wildberries sellers.

The founder of the Moscow fulfillment service QazTrade came to us. The company buys, packs, labels and delivers goods for Wildberries sellers and understands well the problems sellers face.

The classic path of a WB seller is long and risky. First comes product analysis, then ordering from China, logistics, delivery to the warehouse, waiting for placement, sale and only then money. The full cycle can take weeks and sometimes months. At the same time, risks remain: returns, fines, money stuck in goods that may not sell.

To solve this problem, QazTrade launched an alternative model, first as a Telegram channel. They gathered wholesale goods from Moscow in one place with full information so that other sellers could list them on Wildberries without purchasing stock upfront.

The model worked like this: the seller publishes the product, receives an order, sends data to QazTrade, and then the team takes over procurement, packaging and delivery to the WB warehouse.

This greatly shortened the path and reduced risks for sellers. But over time the Telegram format could no longer handle the volume and scale. Processes became more complex, there was too much manual work, and automation and transparency were lacking.

At that point, QazTrade came to us with the task of creating a full B2B marketplace where all processes would be digitized and users could publish products on their Wildberries accounts in one click and work in a convenient system.

qaztrade

02

Designed and developed a B2B sales platform with deep Wildberries integration.

We already had experience creating a similar product, so we quickly immersed ourselves in the CJM and business logic. At the start, we held a series of discussions with the QazTrade team, reviewed the requirements, clarified key processes and fixed the differences in their operating model.

As a result, we assembled a system that allows sellers to work with Wildberries without unnecessary costs and risks. The user only needs to enter the platform, choose a product and publish it on their Wildberries account.

After that, the entire operational part goes to QazTrade: purchasing goods from the supplier, packaging, labeling and delivery to the Wildberries warehouse in Moscow.

In essence, we digitized their business model and turned it into a convenient tool through which a seller can quickly launch sales without diving into complex logistics and operations.

qaztrade

03

Through the IT solution, scattered processes were brought into one system and operations became organized.

Before this, the company had worked for a long time through chats, Excel and even notebooks. In that format, emergencies regularly occurred, data was lost, orders were forgotten, employees spent time searching for information in conversations and process control was limited.

Now everything is built in one system. Processes became transparent and clear both for the team and for clients.

Sellers no longer need to communicate with managers in chats. It is enough to enter the platform, place an order, attach the required files and then simply track the status from procurement to delivery of goods to the Wildberries warehouse.

As a result, manual work decreased, communication chaos disappeared and the system itself became a convenient tool through which the entire process can be managed without unnecessary actions.

CTO “SoftSale”

Maksat Kantai

CTO “SoftSale”

The biggest challenge in this project was not development itself, but translating live operations into a system.

Before this, everything worked through chats, spreadsheets and manual processes, where much depended on people. We had to digitize it so that nothing would be lost along the way and the user’s life would not become more complicated.

The main focus was the Wildberries integration and making sure the system correctly processes orders, statuses and data without discrepancies. It was also important to build the architecture so it could withstand growth and scaling.

In the end, we assembled a system that is quite complex inside, but looks as simple as possible to the user, and that is probably the main result.

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