Our case studies

• A full user scenario has been implemented: from registering a seller to placing an order and receiving a receipt.
• A full scenario for connecting sellers has been set up: from a personal account to importing goods and displaying them in the marketplace catalog.
• Several real sellers are connected to the marketplace and about 3,000 items have been uploaded, some of which have already been physically delivered and accepted at the customer's warehouse.

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• All property data — space, prices, statuses and payment terms — is stored centrally in the PIM system and is automatically updated in all related systems.
• Sales managers work with up-to-date information and can instantly provide customers with current prices, and after the house is delivered, correct space data is automatically transferred to billing systems. This eliminates errors in the preparation of receipts and increases the owners' confidence in the service.

• Manually bringing product data to the requirements of each marketplace — that is, “translating” attribute names and values from the PIM system — takes a lot of time for content managers and slows down the publication of products on external platforms.
• Updating collections requires considerable effort. Three full-time employees are exclusively dedicated to preparing and publishing Wildberries product cards for the company's leading brands, Berlingo and BG.

• Handwork also becomes a source of human error: inaccurate characteristics, missing fields, duplicates. This leads to additional costs and has a negative impact on brand reputation and sales.

• The growth in the range increases the load on the content department, limiting the speed of scaling.

• We automated the independent work of customers 24/7 in the company's webshop and ensured the independent selection of goods within their competence;
• We have reduced the volume of correspondence in mail and messengers: now customers contact us only to clarify the delivery times for missing goods or to clarify other details about the product and delivery.
• We reduced the checkout time from 15 to 10 minutes when all items are available, which is equivalent to saving 12.5 man-hours every day during peak season.
• We have increased the speed of processing and fulfilling orders (shipments), as customers prefer to choose affordable alternatives rather than wait for delivery.

• We got rid of our dependence on a foreign DAM-system vendor by choosing an open-source tool.
• We have implemented automatic image communication with one or several products.
• We developed custom reports with which the client can analyze the relevance of files and the frequency of updates.

• Goods are uploaded to the distributor in Pimcore in 10 seconds.
• 100,000 new items can be added in 1.5 hours.
• The WebDAV protocol allows content managers to download 100 GB of media files without slowing down other systems.
• The complex structure of the catalog with 300 directories does not slow down Pimcore via using the Classification Store option with custom improvements.