Online store for 3D printer accessories
Task: development and setup of an online store on CMS OpenCart with full integration with the CRM system and synchronization with the marketplace Prom.
Completed works:
The site was deployed and configured on OpenCart taking into account the client's needs.
The product catalog structure was created (categories, filters, attributes, SEO-URL).
The design was adapted to the theme of 3D printing and optimized for mobile devices.
Integration with CRM was set up for automating order processing and customer database management.
Synchronization with Prom.ua was implemented: automatic updates of prices, stock levels, and product descriptions.
The site's performance was optimized and basic SEO optimization was implemented.
Functionality testing was conducted and the client was trained to work with the system.
Result:
The client received a modern online store that allows for effective management of products, automates sales through CRM, and simultaneously sells on Prom.ua with minimal manual actions. This reduced the time for order processing and decreased the number of errors in product data.
Completed works:
The site was deployed and configured on OpenCart taking into account the client's needs.
The product catalog structure was created (categories, filters, attributes, SEO-URL).
The design was adapted to the theme of 3D printing and optimized for mobile devices.
Integration with CRM was set up for automating order processing and customer database management.
Synchronization with Prom.ua was implemented: automatic updates of prices, stock levels, and product descriptions.
The site's performance was optimized and basic SEO optimization was implemented.
Functionality testing was conducted and the client was trained to work with the system.
Result:
The client received a modern online store that allows for effective management of products, automates sales through CRM, and simultaneously sells on Prom.ua with minimal manual actions. This reduced the time for order processing and decreased the number of errors in product data.