Yes! Product recommendations increase average order value by 10-30%. Recommendation types include: related products (shown on product pages), frequently bought together (based on order data), similar products (same category/attributes), recently viewed (reminder of browsed items), bestsellers (social proof), new arrivals (keep store fresh), and personalised recommendations (based on customer history). Recommendations appear on product pages, cart page, and post-purchase emails. The AI learns from actual purchase patterns - products often bought together automatically get cross-recommended. You can also manually configure recommendations ("recommend wireless mouse with laptop"). Recommendations work immediately using general bestseller logic, then become personalised as order data accumulates. This is crucial for increasing average order value from $50 to $65 - that extra $15 adds up significantly over hundreds of orders monthly.
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