Saeedreza Abbaspour

You will find that most WooCommerce stores don’t so much collapse as they calcify. An hour before a campaign is set to go, a plugin update will put the checkout out of commission. The marketing team won’t dare touch the theme unless a developer is on hand. Variant pricing goes adrift because you have three […]

You could argue that the bulk of ecommerce SEO packages on the market are built for a bygone era. The search landscape has moved on, and the old ways don’t hold up. Take the numbers from Pew Research Center: in a July 2025 review of some 68,879 searches they put together, they saw traditional organic […]

You will find that the majority of ecommerce stores have yet to make a distinction between their visitors. Whether it is a first-timer who came in off a Google ad, a loyalist logging back on after a three-week absence, or someone from a deal site with a price to compare, they are all shown the […]

Take the global numbers for retail websites: some 80% of the traffic is now coming from smartphones. In places like South Korea and China you will find over 70% of online sales are made on a phone. And yet, if you listen to most of the old guard in ecommerce, the talk is still all […]

The hardest part of buying generative AI is not picking the model. It is finding a partner who will tell you when your idea is too broad, your data is not ready, and a workflow change would beat the build. That kind of judgment is rare, and it is exactly what separates a generative AI […]

Do the numbers for a senior AI engineer in New York and you are looking at $350,000 to $500,000 fully loaded. Put in the salary, benefits, recruiter fees, equipment and management overhead and that is what it runs. Then look at Clarista’s 2026 compensation analysis: put the same person on staff in India, Eastern Europe […]

Most AI engagements do not fail because the model was wrong. They fail before the model is chosen. The business problem is fuzzy, the data sits in three systems nobody owns, and the launch plan stops at the demo. Stanford’s 2026 AI Index reports that 88% of organizations now use AI in some form, yet […]

You will see a wide variance in the numbers when you look at enterprise AI. Vendors will tell you their success rate is over 60 per cent, but an independent audit of such projects puts the figure for those that hit business objectives on the first try at between 20 and 35 per cent. That […]

You can take it from MIT’s NANDA initiative: after reviewing 300 enterprise generative AI deployments, they concluded some 95% had no discernible effect on the P&L. ISG came to much the same conclusion in their 2025 survey of enterprises, though they put a finer point on it by noting that of all the use cases […]