Pricing Heroes Media
The Future of AI Pricing: From Human-in-the-Loop to Fully Automated Decisions with Alex Halkin

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In this episode of Pricing Heroes, we speak with Alex Halkin, Founder and CEO of Competera, returning to the show two years after his first appearance in 2024. In that conversation, Alex predicted a major shift toward AI-driven, contextual pricing in retail. Today, he revisits those predictions, assesses how the space has evolved, and shares what's coming next — from autonomous pricing decisions to four-dimensional optimisation models and algorithmic trading-style speed.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Key Topics
- How AI adoption in retail pricing has accelerated since 2024, and why CIOs are now advocating for it rather than resisting it
- Why contextual AI pricing is not for every retailer, and how to assess if it's right for your business
- How advanced AI pricing algorithms use model routing to orchestrate multiple AI models to achieve holistic pricing outcomes
- Whether AI is necessary for velocity ratio index (VRI) and lifecycle sell-through rate optimisation for seasonal inventory
- Why some overstock problems are demand problems, not pricing problems
- How macroeconomic volatility is making pricing resemble algorithmic trading


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