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Akmelo

For quality, product, and customer service teams

Spot recurring issues in customer feedback.

One review is easy to notice; a pattern across hundreds of pages is harder. Gather text, dates, and links, classify topics, and give the team material for concrete action.

Open the app See the workflow
Review cards and delivery, packaging, and quality symbols on a sand-colored background
Fields in your selection
TopicPackaging
MaterialText + date + source
ActionReview with the quality team

Reviews are read, but the overall picture is assembled by hand

People discuss packaging, delivery times, and product properties across many pages. Without a common structure, it is hard to separate an isolated comment from a recurring theme.

Turn a task into a process

Start with a small sample. Then control the rules, frequency, and result.

Choose sources and fields

Collect available public reviews: text, date, rating, product, and link. Keep only the data needed for your task.

Set topics and verify them

Define topic rules in a scenario or process exports in your analysis system. Check mixed topics and reviews with missing context on a sample.

Make review part of the workflow

Update on a schedule and send selections to responsible teams. Measure topic shares within the collected sample and account for source bias.

How your work changes

Your team gets prepared data and more time to make decisions.

Review material in one place

Store the text, date, rating, and product with a source link. Select a period or category and return to the original context.

Topics under your rules

Set keyword-based topics in a scenario or export to your analysis system. If you use an AI model, validate its classification on a sample.

Feedback for the right team

Export separate selections about packaging, product features, or service. Every record retains a source link.

Keep the details
that shape the decision.

Choose fields and processing rules for your task. Each record can retain its source link and check date.

Open the guide
Your data structure
Review textPublication dateRatingProduct or serviceProcessed topicSource link

Before the first run

Will topics be identified automatically?

Configure topic rules in the scenario or process the export in your own analysis system. If you use an AI model, validate it on your business examples and send ambiguous records for human review.

Can reviews represent all customers?

Reviews represent the collected sample, not every customer. Compare like sources and periods, retain selection criteria, and do not apply the shares to your whole audience without checking.

Do I need reviewer profiles?

To analyze product issues, text, date, rating, and product context are usually enough. Do not collect personal fields unrelated to the task.

Practice and setup

Explore an example, then configure your workflow.

Start with the task
that takes your time.

Test one source, review the result, and choose how to run it. Expand the process with your team when it works.

Open the app