Alltegrio Expands Its Retail AI Practice to Help Retailers Forecast Demand and Modernize Operations

Alltegrio launches an expanded retail analytics practice, helping retailers forecast demand, cut costs, and modernize operations with proven AI expertise

SAN FRANCISCO, CA, UNITED STATES, September 9, 2026 /EINPresswire.com/ — Alltegrio, an AI and machine learning development and consulting company with offices in Delaware, Warsaw, and Kyiv, today announced an expanded focus on retail analytics, bringing together predictive analytics consulting services, digital transformation, and dedicated consulting support for mid-market and enterprise retailers.

The move addresses a gap the company sees across the sector: retail chains are sitting on large volumes of point-of-sale, inventory, and customer data that most legacy systems were never built to connect. The result is forecasting done on spreadsheets, markdowns that pile up on the wrong SKUs, and customer churn that goes unnoticed until it shows up in quarterly numbers.

“Retailers don’t need a new dashboard. They need systems that can see fragmented data as one picture and models that turn that picture into an action someone can actually take,” said Oleg Goncharenko, CEO at Alltegrio. “That’s the gap our retail practice is built to close — whether a client is starting with a single forecasting pilot or rebuilding how their stores, warehouses, and online channels talk to each other.”

A track record in retail data at scale

Alltegrio’s retail work builds on hands-on experience turning messy, real-world retail data into usable insight. In one recent engagement, the company built an AI-powered system that extracts and structures data from retail receipts at scale — processing more than 100,000 receipts a month across five languages, with annotation accuracy above 99.78%. The resulting dataset gives retail analytics clients a granular view of consumer purchasing behavior and price movements across markets, feeding directly into the kind of demand forecasting and personalization models retailers are now asking for. It is one of several computer vision and machine learning engagements in Alltegrio’s portfolio, alongside work in insurance, logistics, and telecom.

That combination — data engineering at volume plus applied machine learning — is what the company is now packaging specifically for retail through three areas of focus:

Predictive analytics in retail, covering demand forecasting, dynamic pricing, churn prediction, and personalized recommendations, built around a data-readiness assessment before any model is scoped.
Digital transformation in retail, connecting POS, inventory, and e-commerce systems into a single operational view so forecasting and personalization models have reliable data to run on in the first place.
Predictive analytics consulting, a broader engineering-led consulting practice that takes a project from problem definition and data audit through model deployment and hand-off, rather than stopping at a slide deck of recommendations.

“Most predictive analytics projects don’t fail because the model is wrong. They fail because the data behind it was never cleaned up, or because nobody owned the action the model was supposed to trigger,” the company noted. “We treat that as the first problem to solve, not a footnote.”

Alltegrio’s retail practice is aimed at mid-market and enterprise chains running legacy POS and inventory infrastructure — the segment the company says is most exposed to the gap between what its systems can see and what its teams need to know to act in time.

About Alltegrio

Alltegrio is an AI and machine learning development and consulting company with more than a decade of experience delivering data science, computer vision, and generative AI solutions across retail, logistics, insurance, fintech, healthcare, and telecom.

Oleg Goncharenko
Alltegrio
+ +1 424-413-5692
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Written By: EIN Presswire