
61% of European ecommerce GMV now flows through marketplaces, but most sellers juggle six platforms. Instinctools CEO Alexey Spas says spreadsheets fail—AI tools cut data prep time 60%.
Online retailers selling across multiple channels are running into a data wall. Marketplaces now account for 61% of total ecommerce gross merchandise value in Europe, according to recent research, and 47% of consumers start product searches there. Most active sellers operate on six marketplaces at once, the same research found. That sprawl makes it nearly impossible to keep demand, stock levels and sales in a single view.
“Retailers today are navigating a ‘perfect storm’ of market conditions where traditional growth tactics no longer suffice,” said Alexey Spas, CEO of software engineering company Instinctools. His firm builds tools for retailers, ecommerce and logistics companies. The core issue, he said, is data scattered across isolated systems. Demand volatility, short-lived trends and supply chain disruptions add to the mess. Promotions that distort normal demand compound it further.
Traditional forecasting methods like spreadsheets become a bottleneck when sellers handle too many SKUs, channels or warehouses. Manual consolidation and conflicting spreadsheet versions lead to recurring stockouts or excess inventory. Forecasting that should take hours can stretch into days.
“This is when retailers typically start looking for tools that can process larger, diverse datasets,” Spas said. AI and machine learning models can combine historical and real-time signals, detect nonlinear relationships and adapt to changing patterns. Those models generate predictions at the SKU, location or channel level.
Instinctools’ own software includes AI and ML capabilities, though Spas stressed that human-led data engineering is still necessary. AI can accelerate the preparation phase significantly. “One of our clients implemented AI tools for data quality checks, mapping and cleansing. This reduced the time required for these tasks by 60 percent,” he said.
The shift toward AI-driven forecasting is already underway as retailers try to keep pace with marketplace fragmentation and fast-moving trends. The companies that solve the data problem earliest will have a clear edge in inventory turns and margin protection.
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