The complaint is public, so the answer has to be too
A late order becomes a comment under your ad, a story with a screenshot of the tracking page, and a review nobody on your team saw. Scano collects all of it — including the pictures, where the order number usually is — into one queue with an owner, a deadline and a measured reply time.
Personalised demo · Live on your own topics · One inbox across nine networks
9
networks in one queue, comments and DMs included
OCR
reads order numbers and screenshots inside images
24/7
collection, so a weekend backlog is visible on Monday
Find it, answer it, then fix what caused it
The queue handles today. The breakdown handles next month.
Inbox128 open9 networksMWXOrder stuck for 3 daysx.com · 9:04 AMnewPSWhere's my receipt?instagram · 8:51 AMassignedJRRefill station workedtelegram · 8:22 AMresolvedALCard declined twiceyoutube · 8:05 AMnewMWXMarcus Webbx.com · direct messageSLA 2hOrder hasn't moved in three days andsupport keeps saying it shipped.9:04 AMMarcus — checked it: carrier scan failed,new label is out, arriving Thursday.9:21 AM · Dana, Customer Caretemplate: shipping delayresolved in 17 minWorking-hours SLA17 minmedian first response81% answered inside target · sample data
One inbox instead of nine tabs
Mentions, comments and DMs from every network land in the same queue, with a status, an owner and a working-hours deadline.
Assignment, statuses and internal notes per conversation
Approved templates, in the languages your customers write in
Response time measured per agent and per network
novaLogo detectedThe post never types the brand name.instagram02:23[voice]…honestly theNovapackaging is much better now…Speech → searchable textText in imageNOVA store
The posts that show your product without naming it
An unboxing story, a shelf photo, a review video with your packaging in frame — none of them contain your brand as text. Logo detection, OCR and speech-to-text find them anyway.
Logo detection in photos and video frames
OCR on screenshots, labels and story text
Speech-to-text on reels, shorts and review videos
Dashboard+ Add widgetMentions this month5 998+187%vs. last monthMentions vs. categoryEditInfoDuplicateDeleteShare of voice by sourcex.comyoutube.cominstagram.comnews & webMentions by stateCalifornia92%Texas74%New York61%Florida43%Top topicsShippingPriceRefillsSupportsample data
Complaints grouped into causes
Sentiment split by aspect — delivery, quality, price, support — and by city, so the pattern behind a bad week is a line item rather than a hunch.
Aspect-level sentiment with the posts behind each bar
City and region cuts, built from the mentions themselves
Scheduled exports for the weekly trading meeting
What we watch for a retailer
Configured around your brands, your marketplaces and your delivery partners.
Order, delivery and courier complaints, by city
Product quality, defect and return threads
Marketplace and app-store reviews alongside social posts
Promo-code, pricing and out-of-stock reactions
Unboxing and review videos, including what is said out loud
Competitor promotions and the reaction to them
What it replaces
Three ways a retail complaint turns into a screenshot on someone else's feed.
A DM answered four days later because nobody owned the inbox.
Photo posts that never match a keyword and are never counted.
A “we had a difficult week” explanation with no breakdown behind it.