Representative examples of the AI workflows and pipelines we build — across ecommerce, service businesses, and operations teams.
Challenge
A beauty retailer's large catalog was enriched by hand — slow, and inconsistent in voice and structure.
Approach
A pipeline that ingests raw supplier data and generates on-brand descriptions, structured attributes, and SEO metadata, with a human review queue.
Outcome
Catalog updates dropped from days to minutes, with a consistent voice — and the team refocused on merchandising.
Challenge
An apparel brand's support inbox was overwhelmed, and first-response times kept slipping.
Approach
A pipeline that classifies tickets, pulls order context, drafts replies for agent approval, and auto-resolves the simplest cases.
Outcome
Faster first response, more volume handled per agent, and a consistent tone across the queue.
Challenge
Buyers manually scanned sales, reviews, and returns to decide restocks and markdowns.
Approach
A workflow that aggregates those signals into a weekly prioritized action list with plain-language explanations.
Outcome
Faster, more confident merchandising decisions — backed by signal instead of gut feel.
Challenge
Inbound leads and requests were sorted and routed entirely by hand, and things slipped.
Approach
A pipeline that classifies, enriches, and routes every inbound request, and drafts an initial response.
Outcome
Nothing slips, response times dropped, and the team focuses on real work instead of sorting.
Challenge
Staff dug through scattered manuals and SOPs to answer everyday questions.
Approach
A retrieval pipeline over internal docs with a grounded, citation-backed assistant, evaluated for accuracy.
Outcome
Faster answers, fewer interruptions for senior staff, and easier onboarding for new hires.
Challenge
Weekly reporting was assembled by hand from many sources, and problems surfaced late.
Approach
A pipeline that consolidates data, generates a narrative summary, and flags anomalies automatically.
Outcome
Reporting time collapsed, and issues are caught early instead of at month-end.
These are representative examples of the kind of work Fivela does. Details are illustrative.