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I am opening a small product-data cleanup and audit service. My self-initiated synthetic studies cover leading-zero SKUs, duplicate records and ambiguous supplier prices.
I use AI-assisted preparation and scripted checks, retain source records and flag unresolved values. The examples are demonstrations, not past client engagements.
Current fixed-scope services are US$35 for an audit and US$60 for cleanup: one CSV/XLSX file, one worksheet, up to 500 data rows and 10 columns. Data-processing requirements and rules are confirmed before acceptance. Only authorized, non-sensitive product/catalogue data is accepted.
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Audit a CSV for duplicates, missing values and format conflicts by HON SIONG LAM
Read more about Audit a CSV for duplicates, missing values and format conflicts by HON SIONG LAM on Contra.
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Small-business tip: put an instant price estimate on your website.
If you run a cleaning, repair or similar service, many visitors leave because they can't tell if you fit their budget, and asking for a quote feels like a commitment.
I built a concept to show the idea: FreshNest, a made-up home cleaning company. You pick the type of cleaning, home size, bathrooms, extras and how often, and the estimate updates as you go. Then you copy or email the request in one tap.
One detail I'd keep on any real version: a clear note that it's an estimate and the final price is confirmed before the job starts.
Try it: https://me.aleex.workers.dev/work/freshnest/
If you'd like one for your business, websites start from $150.
#SmallBusiness #WebDesign
An upfront estimate helps.
Lately I get a lot of requests for product audits (in terms of UX/UI and sometimes even with suggestions for CX!!). Most of them are new products built fast, often with AI
I just finished 1 for a train booking site: 2 reports, mobile and desktop, 54 findings. Every finding has a number, a screenshot with the problem marked, why it matters to the customer, the exact fix and a priority
The format is the point - > you can hand it to your developer or straight to Claude and it can apply the fixes one by one
If you're about to launch something new and want a designer's eyes on it first, send me a message 😉
Btw, how often do you audit your product? I think it should happen before every launch and in the process with received data
Built a complete SQL Server (T-SQL) data warehouse for a fictional multi-channel, multi-currency retailer (synthetic dataset created for demonstration purposes). Delivered: staging layer loaded from 17 CSV files (~397K rows); one transactional, re-runnable ETL stored procedure that cleans duplicates, mixed date formats and inconsistent labels; a star schema with keys and constraints; reporting views with business rules defined once (net revenue in USD, contribution margin); automated data-quality tests; and 17 analytical queries (cohort retention, RFM segmentation, Pareto/ABC, constant-currency growth, carrier failure alert, inventory health, CAC vs platform claims, budget vs actual). Key insight: marketplace shows 51% gross margin but only 24.5% contribution margin after commission, shipping and refunds.
