The manual preparation of product data not only requires considerable personnel resources, but is also time-consuming and prone to errors.
This results in high internal costs, longer turnaround times and delays in launching products on the market. Especially when thousands of articles have to be updated regularly, effort and costs continue to rise.
The internal effort for manual data creation and maintenance should be significantly reduced.
Product data is to be processed more quickly and passed on to sales channels in order to make products available more quickly and thus increase sales.
Shorter lead times mean that products reach the market faster, which shortens storage times and saves costs.
The ainavio Foundation Cloud uses AI-supported data processing to automatically enrich and categorize product information.
This high degree of automation leads to cost savings of up to 50% and more, as manual processing is largely eliminated.
At the same time, AI-based annotation speeds up processing by up to 48% and more, so that products reach the sales channels much faster.
This increases sales per item and reduces storage costs, as products can be sold more quickly.
Less manual effort through automated data processing.
Products reach end customers more quickly via digital sales channels, which leads to higher sales figures.
Shorter storage times reduce storage costs and improve your liquidity.
Efficient, automated processes ensure faster product launches and higher profitability.