Messy text in.
Clear numbers out.
Your customers, technicians and inspectors already tell you what's wrong. We connect what they report, find the cause and get the fix to the team that owns it. Then we check that it worked.
What this looks like for one product
A year of claims, returns, reviews and inspection notes on one backpack.
1,240 records like these
- zipper split on day 3. never agian
- smaller than the pics, sending back
- Hi, the strap tore at the seam after only a week, can I get a replacement or do I have to send the whole bag ba…
- STRAP DETACHED AT BOTTOM SEAM, 2ND UNIT
- btm seam stitch count low on 6 of 50, sent back for rework??
Counted and ranked
Top problems across every source
Share of 1,240 records, last 12 months
Strap seam tears tripled after the March run, and QC had flagged the same lot.
Sent to the team that can fix it
- EngineeringChange the zipper spec for the next version. 312 failure photos attached.
- Factory QAClaim for 112 defective units from the March run, about $18,400.
- MarketingAdd true size photos and dimensions to the product page.
- June follow upSeam tears are down 64% since the fix.
How it works
You send the messy text your business already collects. We show you what to fix first, and whether the fix worked.
Send what you have
Warranty claims, returns, technician and inspection notes, support tickets or reviews, in whatever format you have them.
Get the fixes that matter
The problems costing you the most, what causes each one and which team can fix it.
See what changed
Every month, whether each fix worked and which new problems are starting.
What you get
Findings routed to the people who can recover, reduce or prevent the cost.
A ranked list of problems
Each with its cause, what it costs and who owns the fix.
Supplier and factory evidence
Failures tied to batches, with counts, photos and dollar totals, ready to send.
Engineering input for the next version
Which parts fail, how, and under what use.
Listing, packaging and instruction fixes
For problems caused by confusion, not the product.
A baseline and monthly tracking
Proof of whether each fix worked.
Early warning
A flag when a new problem starts, before it reaches more customers.
Close the loop from the field to the fix
Warranty claims, returns, technician notes, inspection reports and reviews usually sit in different systems, and nobody connects them. So claims get paid, returns get refunded, and the same problem ships again in the next batch. We bring every source together, trace each problem to its cause, and measure the result.
- Problems show upclaims, returns, service calls, inspections, reviews
- We connect and count every record
- We find the cause
- Your team fixes it
- We measure the change
Repeat every month
Questions we help answer
- Which problems show up in claims, returns and reviews at the same time?
- Which complaints cost money in returns, refunds and support time?
- Did something change with a batch, a supplier or a season?
- Which costs can we recover from a supplier or factory?
- Did last quarter's fix actually work?
If any of these would take more than a day to answer, that's the work we do.
FAQ
Common questions
How we work, who it's for and what happens to your data.
Companies that make physical products.
- Consumer brands: reviews, returns and support emails
- Equipment and durable goods makers: warranty claims, technician notes and service calls
- Manufacturers: supplier quality, inspection notes and customer complaints
Accuracy is built into every step, not checked at the end.
- We validate the data first. Before any analysis, we look for gaps, duplicates and fields that don't line up, and tell you what we find.
- We validate the training data. The models that sort your records learn only from examples a person has checked, then get tested on records they haven't seen.
- We check the results as we go. Algorithms we built flag records that look wrong or disagree with similar ones, and a person reviews each one.
It stays yours. We work under NDA. Your records are processed in private systems with access controls and never shared.
Unified Edge is led by a data and AI architect with 10+ years building analytics systems for large manufacturers. We bring the same methods to companies that don't have a data science team. Based in Michigan.
Want to see what your data shows?
Most work starts with a free look at up to 500 of your own claims, returns or service records under NDA. No data to share yet? We can start with your public reviews. If it's useful, we go deeper and keep tracking every month.
Or write to [email protected]