Back-to-school shopping trends test retail AI and ecommerce growth

The back-to-school season is serving as a critical test for retail artificial intelligence and marketing strategies. Research from the National Retail Federation indicates that 62% of shoppers began their preparations by early July, with 78% expecting higher prices, leading to increased price sensitivity and comparison shopping.

For retailers, the season highlights the difficulty of maintaining consistent customer identity across multiple touchpoints, such as mobile apps, physical stores, and loyalty programs. Effective AI must connect these disparate signals to create a unified customer context.

In the United States, back-to-school retail sales are projected to reach $85.42 billion by 2026, with ecommerce expected to contribute $32.36 billion. As online sales continue to outpace physical retail growth, brands are increasingly relying on cross-channel strategies involving email, SMS, and retargeting ads to influence purchasing decisions.