Competitor Price Monitoring That Produces Decisions

The collection is the easy 30%

Fetching competitor prices is straightforward engineering. What sinks these projects is everything after: knowing which of their products corresponds to which of yours, handling variants and bundles, and turning a wall of numbers into something a human acts on.

Budget accordingly. If a proposal is mostly about collection, it is describing a third of the work.

Product matching is the actual project

The same item appears as different names, codes, pack sizes and bundles across retailers. Matching needs a combination of approaches and a human in the loop.

1. Exact identifiers first — EAN, GTIN, MPN where available. Reliable and often missing.
2. Normalised text matching on brand, model and specification.
3. Semantic similarity for descriptions that differ in wording but not meaning.
4. Human review for the middle band, with the decision remembered so it is never asked twice.

Expect 60–80% automatic matching on a typical catalogue, with the remainder needing review. Anyone promising fully automatic matching across messy retail data has not tried it on your catalogue.

Handle variants and bundles deliberately

A 500ml bottle is not a 1-litre bottle, and a three-pack is not three singles. Normalise to a comparable unit — price per litre, per unit, per kilogram — or your comparisons will be confidently wrong.

Bundles are harder still and worth an explicit decision: exclude them, flag them separately, or estimate a component price with a clear caveat. Pick one and document it.

Alert on decisions, not on changes

A daily email listing every price movement gets filtered within a fortnight. Alert only when something crosses a threshold that would change what you do.

• A competitor drops below your price on a product where you compete on price
• You are now more than X% above the market on a high-volume line
• A competitor is out of stock on something you hold — often the most actionable signal available
• A sustained trend rather than a one-day promotion, which is usually noise

Watch stock as well as price

Competitor stock-outs are frequently more valuable than price movements and are consistently overlooked. A rival out of stock on a line you hold is a short window where advertising spend and search position are worth more than usual.

Collecting availability alongside price adds little to the build and often produces the highest-return alerts in the system.

Put the output where decisions happen

A separate dashboard is visited enthusiastically for three weeks and then forgotten. Feed the data into the tool where pricing decisions are actually made — the pricing sheet, the ERP, or a scheduled summary in the channel the team already uses.

The measure of success is whether prices changed as a result, not whether the dashboard was accurate.

Frequently asked questions