Maxi-Cosi needed a more scalable way to monitor whether retail partners were displaying approved brand banners and marketing assets across their websites. For every campaign, the marketing team compiled approximately 100–200 reseller URLs, opened each website, inspected the page visually, compared the assets with approved designs, and recorded the results manually.
Alltomate built a brand compliance automation system using Apify, Make.com, visual-matching logic, and spreadsheet reporting. The workflow automatically scans reseller websites, detects approved banners, checks for broader brand presence, and generates structured compliance results.
Routine inspections that previously required hours of manual browsing can now be processed across hundreds of URLs in minutes, allowing the marketing team to concentrate on reviewing exceptions and following up with partners.
Brand Compliance Automation Case Study at a Glance
- Client: Maxi-Cosi
- Industry: Child mobility and car seat solutions
- Location: Global
- Websites reviewed: Approximately 100–200 reseller URLs per campaign
- Technology stack: Apify, Make.com, and spreadsheet reporting tools
- Processes automated: URL crawling, page-data capture, banner detection, brand-presence detection, and compliance reporting
- Primary result: Routine website inspections can be processed in minutes instead of requiring hours of manual review
About Maxi-Cosi
Maxi-Cosi operates globally in the child mobility and car seat market. Its products are sold through a broad network of retail and distribution partners.
Maintaining a consistent brand presence across that network requires partners to display approved banners, logos, and campaign materials correctly. A reseller may use the correct official banner, display an altered asset, create its own branded visual, mention the company only in text, or omit the brand entirely.
The marketing team needed a reliable way to distinguish between those different situations without manually inspecting every page.
The Challenge: Manual Brand Compliance Audits
Before automation, each new campaign created a substantial website-review process.
The team had to:
- Compile a list of 100–200 reseller URLs
- Open each website individually
- Locate the relevant campaign or product page
- Inspect the banner or brand asset visually
- Compare the asset with the approved design
- Determine whether the site met the compliance standard
- Record the result in a spreadsheet
- Identify partners requiring follow-up
The same sequence had to be repeated for every website and every campaign.
Website Reviews Consumed Hours
Even when a single inspection required only a few minutes, reviewing up to 200 websites created hours of repetitive browsing and documentation.
The team’s time was spent locating and evaluating assets instead of resolving compliance issues or supporting campaign performance.
Human Judgment Produced Inconsistent Results
Visual inspections depended on the reviewer’s interpretation. One team member might approve an altered asset, while another might classify the same implementation as noncompliant.
Without standardized detection logic, results could vary depending on who completed the audit.
Reporting Was Delayed
Inspection findings had to be entered into spreadsheets manually. By the time the complete report was available, campaign conditions could already have changed.
Delayed reporting made it harder to identify widespread issues, prioritize reseller follow-up, or correct problems while a campaign was still active.
The Process Did Not Scale With the Partner Network
As the number of reseller websites increased, the manual workload increased proportionally.
Adding more websites or running more frequent campaigns meant assigning more employee time to repetitive inspections.
The Goals of the Brand Compliance Automation Project
Maxi-Cosi needed a system that could increase monitoring capacity without removing human oversight from important compliance decisions.
The project needed to:
- Scan reseller websites automatically
- Process large URL lists in batches
- Capture relevant page data and visuals
- Check whether an approved banner was present
- Identify broader brand presence when the official banner was missing
- Apply consistent detection criteria across every website
- Structure the findings in a familiar spreadsheet format
- Make noncompliant or ambiguous websites easier to filter
- Allow the marketing team to focus on review and enforcement
- Support larger partner networks and campaign lists
The goal was not to eliminate human judgment entirely. It was to automate predictable inspection work and direct the team’s attention toward websites that required review or follow-up.
The Alltomate Approach
Alltomate mapped the complete compliance-monitoring process, from uploading reseller URLs through reviewing final results.
The workflow was divided into four connected stages:
- Automated URL scanning
- Official-banner detection
- Brand-presence detection
- Automated compliance reporting
Apify handled web crawling and page-data collection. Make.com orchestrated the transfer and processing of the results. Spreadsheet tools provided the final reporting interface used by the marketing team.
Tools Used in the Brand Compliance Automation
- Apify: Crawled reseller URLs, captured page information, and collected the visual data required for compliance analysis
- Make.com: Connected the scraping results, verification logic, and reporting workflow
- Spreadsheet tools: Organized compliance findings, supported filtering, and provided the marketing team with a familiar reporting interface
- Visual-matching logic: Compared captured page visuals with approved banner references
- Brand-presence logic: Checked for text references, logos, and retailer-created brand visuals
Make.com served as the workflow-orchestration layer rather than the compliance interface itself. It moved the collected data through the required logic and into the reporting structure.
Organizations that need similar multi-step systems can use Make.com consulting services to connect web-scraping tools, validation logic, databases, and reporting platforms.
Workflow 1: Automated Reseller URL Scanning
1. The Reseller URL List Is Uploaded
The workflow begins with a structured list of reseller or partner URLs associated with the campaign.
The list can contain the websites that need to be checked along with relevant identifiers, such as:
- Partner or reseller name
- Website URL
- Country or region
- Campaign name
- Expected asset
- Internal reference information
2. Apify Crawls Each Website
Apify automatically visits the submitted websites instead of requiring an employee to open each URL manually.
The crawler captures the page information and visuals needed by the downstream detection workflow.
Processing the sites in a structured batch creates a scalable foundation for checking hundreds of URLs during a campaign.
3. The Results Move Into the Verification Workflow
After Apify completes the crawl, the captured information is passed into the next stage through the automation layer.
The team does not need to download individual screenshots, rename files, or transfer the information manually before analysis begins.
Workflow 2: Official Banner Detection
The first verification stage determines whether the reseller website displays the approved campaign banner.
1. Captured Visuals Are Compared With Approved Assets
The system evaluates the page visuals against the official banner references supplied for the campaign.
The objective is to identify whether the required approved asset appears on the reseller page.
2. Standardized Matching Logic Is Applied
The same comparison criteria are applied across every website in the URL list.
This reduces the variation created when different employees interpret the same asset differently.
3. The Result Is Recorded as a Structured Status
Each website receives a clear banner-detection result:
- TRUE: The approved banner was detected
- FALSE: The approved banner was missing or did not meet the matching criteria
A FALSE result does not automatically determine the final enforcement action. It identifies the website for additional review or partner follow-up.
Workflow 3: Brand-Presence Detection
Official-banner detection alone did not provide enough context.
A reseller might not display the approved campaign banner but could still represent the brand through a logo, a product image, retailer-created artwork, or written references.
1. The Page Is Checked for Brand Mentions
The workflow scans the available page text for references to the Maxi-Cosi brand.
This helps identify pages where the brand is present even when the official campaign asset is absent.
2. Logo Placement Is Evaluated
The detection process also checks the captured page visuals for relevant brand-logo placement.
This gives the marketing team a broader view of how the reseller is representing the company.
3. Retailer-Created Brand Visuals Are Identified
The workflow can differentiate between the official banner and other visuals associated with the brand.
This distinction allows the team to understand whether a reseller has:
- Displayed the approved campaign banner
- Used a different branded asset
- Created its own brand-related visual
- Mentioned the brand only in text
- Provided no detectable brand presence
4. Brand Presence Is Recorded Separately
Each website receives a second structured result:
- TRUE: Brand presence was detected
- FALSE: No relevant brand presence was detected
Recording banner detection and brand presence separately provides more useful information than one general compliant or noncompliant label.
Workflow 4: Automated Compliance Reporting
1. Make.com Processes the Detection Results
Make.com receives the information generated by the scanning and verification stages.
The automation maps the results into the reporting format and associates each finding with the correct reseller URL.
2. Results Are Written Into a Spreadsheet
The final report presents a structured row for each website.
Relevant columns can include:
- Reseller name
- Website URL
- Campaign or market
- Official Banner Detected
- Brand Presence Detected
- Review status
- Follow-up notes
3. Noncompliant or Ambiguous Sites Can Be Filtered
The marketing team can filter the spreadsheet for websites where the approved banner was not detected or where no brand presence was found.
This converts a large website-inspection project into a focused review queue.
4. The Marketing Team Handles Exceptions and Follow-Up
Instead of inspecting every page manually, employees can concentrate on:
- Reviewing uncertain matches
- Confirming whether an alternative asset is acceptable
- Contacting noncompliant partners
- Tracking repeat issues
- Updating approved campaign references
- Evaluating reseller performance over time
Before and After Brand Compliance Automation
| Process | Before Alltomate | After Alltomate |
|---|---|---|
| URL review | Employees opened 100–200 reseller websites manually | Apify crawls the submitted website list automatically |
| Page-data collection | Information was gathered through individual browsing | Relevant page data and visuals are captured in batches |
| Banner inspection | Employees compared banners visually | Visual-matching logic applies standardized criteria |
| Brand-presence review | Reviewers interpreted logos, text, and alternative assets manually | Brand mentions, logos, and related visuals are checked systematically |
| Compliance recording | Results were entered into spreadsheets manually | Detection results are written into a structured report |
| Review priority | Every site required manual attention | Flagged and ambiguous websites can be prioritized |
| Processing time | Campaign reviews required hours of repetitive inspection | Hundreds of websites can be processed in minutes |
Results of the Brand Compliance Automation
Hundreds of Websites Can Be Processed in Minutes
The system can crawl and evaluate the campaign’s website list without requiring the marketing team to open each reseller page manually.
This converts a process that previously required hours of repetitive work into an automated batch workflow.
Compliance Criteria Are Applied More Consistently
The visual-matching and detection logic applies the same criteria across every website.
This reduces subjective variation between reviewers and creates a more repeatable monitoring process.
Reporting Is Generated Automatically
Inspection results are compiled in a structured spreadsheet without requiring employees to record every result manually.
The team gains quicker access to the websites requiring additional attention.
Official Assets and General Brand Presence Are Distinguished
The workflow does not treat every type of brand visibility as identical.
Separating official-banner detection from general brand-presence detection gives the marketing team better context when determining the appropriate follow-up.
Human Review Is Focused on Exceptions
The automation handles predictable scanning and classification work. Marketing employees can reserve their time for ambiguous results, partner communication, campaign decisions, and enforcement.
The Monitoring Process Can Support Larger Campaigns
Under the previous process, increasing the number of reseller sites created a proportional increase in manual workload.
The automated architecture is designed for bulk processing, allowing larger URL lists to be handled without requiring employees to inspect every additional site individually.
How to Operationalize Brand Compliance Through Automation
Operationalizing brand compliance requires more than purchasing monitoring software. The organization needs a repeatable process that connects approved standards, website scanning, detection rules, reporting, review, and corrective action.
A practical brand compliance automation workflow should include:
- A defined source of approved assets: The system needs clear banners, logos, naming rules, or other references against which reseller implementations can be evaluated.
- A structured website list: Partner URLs should be organized by reseller, region, campaign, or product line.
- Automated data collection: A crawler or scraping platform should gather the page information consistently.
- Separate detection criteria: Official-asset detection and broader brand-presence detection should not be combined into one unclear result.
- A structured report: Every URL should return a consistent set of fields that can be filtered and reviewed.
- An exception-review process: Ambiguous findings should be routed to an employee rather than treated as automatically approved or rejected.
- A partner follow-up workflow: Compliance findings need to lead to a clear operational action.
The Maxi-Cosi project used this structure to turn a manual inspection process into a repeatable monitoring workflow.
Can Enterprise Website Brand Compliance Checks Be Automated?
Enterprise brand compliance checks can be automated when the requirements can be translated into consistent detection and reporting rules.
Suitable checks may include:
- Approved banner presence
- Logo presence
- Brand-name mentions
- Required campaign messaging
- Asset placement
- Link destination checks
- Missing or outdated campaign materials
- Partner-level reporting
Automation is most effective for repetitive and clearly defined checks. Human review should remain available for design interpretation, legal questions, unusual page layouts, disputed findings, and enforcement decisions.
Why the Brand Compliance Automation Worked
The project succeeded because it connected every stage of the monitoring lifecycle rather than automating only the web crawl.
Alltomate improved the process by:
- Using Apify to automate large-scale website scanning
- Capturing both structured page information and visuals
- Separating approved-banner detection from general brand presence
- Applying consistent comparison rules
- Using Make.com to orchestrate the workflow
- Producing reports in a familiar spreadsheet format
- Keeping human oversight for ambiguous findings and follow-up
- Designing the workflow for bulk campaign processing
The result was a complete monitoring system rather than a disconnected scraper and spreadsheet.
Automate Brand Compliance Monitoring
Alltomate provides automation and integration services for organizations that need to connect web-scraping tools, validation logic, databases, reporting platforms, and internal review workflows.
Businesses using Make.com can also work with Alltomate through our Make.com consulting services to design, build, test, and maintain complex multi-step scenarios.
Organizations that need to evaluate their requirements before implementation can begin with business automation consulting.
Request a free business process audit to identify which compliance checks, website inspections, reporting steps, and partner follow-ups can be automated.
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