AI Shopping Assistants Are Reshaping Peak Sales Timing, Quantum Metric Finds

What happened

A benchmark report from Quantum Metric, reported by CustomerThink, finds that AI agent sessions grew 25 times over in under a year. More than one in four AI-related sessions now come from AI assistants that browse alongside shoppers rather than acting as separate tools.

The headline finding is that shoppers are tuning out peak sales periods as AI increasingly shapes where and when they buy. The coverage available to us summarises the report's main metrics but does not set out its full methodology, sample or time frame, so the figures should be read as reported headline results.

Why it matters

The shift is less about a new channel and more about a new participant in the journey. When an assistant browses alongside a shopper, it can compare options, watch for prices and suggest timing. That means the moment of purchase is increasingly shaped by software before a person engages with a brand's own pages, promotions or campaigns.

For leaders in experience and digital transformation, this raises practical questions. Site and app experiences may need to work for both human and automated visitors, with clear, structured product information and consistent pricing. Measurement also needs updating, because sessions driven by assistants may behave differently from those driven by people and could distort conversion and engagement figures if treated the same way.

By the numbers

• 25x growth in AI agent sessions over a period of under one year, according to the Quantum Metric benchmark report.
• More than 1 in 4 AI-related sessions now come from AI assistants that browse alongside shoppers.

The Renascence take

Most teams will read this as a traffic story. It is really a decision-making story. The question is no longer only how to persuade a shopper, but how to remain legible to the tool that is helping them decide, and to the timing logic it applies.

Behavioural economics has long shown that timing shapes choice, and urgency is often manufactured by the seller. If an assistant now sets the rhythm of a purchase, a sale that depends on a human noticing a banner may matter less than the terms the assistant can read and compare. Customer-obsessed operators should audit how their offers, prices and availability look to an automated buyer, and treat assistant-led sessions as a distinct segment rather than averaging them into the rest of the funnel. Then they should test whether their peak-sales calendar still reflects when people really decide.