Viktor Zhadan

Build an ecommerce rollback plan that accounts for accepted orders, captured payments, fulfillment actions, data compatibility, and forward recovery.

Compare data labeling companies for retail images, shelf detection, product catalogs and production annotation quality workflows.

How to assess data engineering companies for high-volume streaming, using a real platform that processes 2.5 billion records per day.

If those behaviors are not designed in advance, the outage becomes an inventory cleanup project.

Here are seven of the most common mistakes large ecommerce organizations make when moving from one platform to another.

A distributor may have a reliable point-of-sale system at the counter, an ERP platform managing purchasing and accounting, a warehouse management tool controlling inventory, and an ecommerce portal taking orders around the clock. Each application may perform its own job reasonably well. The problems begin in the spaces between them.

The companies that prepare their cloud and data foundations first are in a stronger position to make AI repeatable. Those that skip that work may still build impressive pilots, but they often struggle when those pilots have to become dependable production systems.