A comparison becomes outdated quickly
A spreadsheet prepared in the morning misses later price, promotion and availability changes.
A solution for e-commerce teams and distributors
Competitor price monitoring system
The system checks selected stores on a schedule, matches equivalent products and highlights changes that require a decision. Instead of opening dozens of tabs, your team receives a structured report or a dashboard with price history.
When does manual price checking stop working?
Equivalent products are difficult to match
Different names, variants and bundles require rules based on EAN, SKU or product attributes.
Collected prices alone do not support decisions
The team needs alerts and exceptions, not another table with thousands of unreviewed rows.
From source to a usable output
- Sources01
Stores and marketplaces
Selected products, categories or search results.
- Rules02
Matching and change control
Identifiers, variants, availability, delivery and alert thresholds.
- Output03
Report, Excel or dashboard
Current data, history and a list of changes that need attention.
What the implementation changes
Comparable data on consistent terms
The comparison can include delivery cost, variant, unit of measure and promotion status.
History instead of a single snapshot
See when a value changed, what it was before and how often a competitor adjusts its offer.
Alerts for meaningful events
Notify the team when a price falls below a threshold, a product returns or the price leader changes.
What the scope may include
- source analysis and product identification rules
- collection of prices, promotions, availability and delivery costs
- product matching using EAN, SKU or a set of attributes
- data validation and detection of unusual changes
- an update schedule suited to the commercial decision
- export to Excel, Google Sheets, a database or a dedicated dashboard
- email alerts or integration with the team's messaging tool
- logs, operational monitoring and rule documentation
How we launch the first stage
- 01
Sample products and sources
We review representative products, variants and stores before estimating the full scope.
- 02
Comparison model
We define fields, matching rules, frequency and the events that should trigger an alert.
- 03
Implementation and data test
We run collection on a limited scope and compare the output with the original sources.
- 04
Scheduled operation and monitoring
After approval, we expand the scope and enable the schedule and error controls.
Frequently asked questions
How often can competitor prices be updated?
Frequency depends on the number of products, source construction and business goal. A daily report is enough for some teams, while others need several updates per day. We set the schedule after reviewing the sources.
Can the system handle different names for the same product?
Stable identifiers such as EAN or manufacturer codes are the most reliable. When they are unavailable, brand, variant and attributes can be used, but this approach needs additional exception handling.
Does the data require a separate dashboard?
No. A first version can save data in Excel, Google Sheets or an existing database. A dashboard becomes useful when you need filters, history, user roles and a larger product set.
Other business solutions
Show us the current workflow
Send a data sample, a few documents or a list of sources. We will assess a safe first stage and define how its result can be measured.
Discuss the process with an engineer