Pricing and commerce
Price intelligence
Also called: Pricing intelligence
Collecting and analysing competitors' prices, promotions and availability to inform pricing decisions.
In practice
Useful only when products are matched correctly and the data is fresh enough to act on.
From observations to a decision
Price intelligence combines collection, product matching, normalisation and analysis. A list of competitor prices is only the starting point. Teams need to know which products are equivalent, when each price was observed, whether the offer is available and which promotional conditions apply before deciding whether to act.
Example: investigating a price gap
Suppose a competitor appears 15% cheaper on a selected product. Check the variant and pack size, then inspect shipping, membership conditions, availability and collection time. If the difference survives those checks, a pricing team can evaluate its commercial response using margin and positioning constraints. Automatically reacting to the first observed gap risks responding to a mismatched or unusable offer.
Useful outputs
A practical report can include matched-item price gaps, a clearly defined basket index, promotion changes and exceptions needing review. Include coverage and freshness so users can judge what the analysis represents. Price intelligence supports decisions; it does not make every lower competitor price a reason to cut your own. Keep observation, recommendation and price execution separate, with a responsible owner for each step.
Aperture tracks prices, promotions and availability with AI product matching and dated evidence, and Import.io feeds deliver the same data to your own systems.
Aperture pricing intelligence →