GSPANN and an anonymised fashion and apparel retailer: Integrations test automation case analysed
Verdict: what is checkable
The evidence grade (this site's label for how a case is sourced: primary with client or press confirmation, secondary when vendor-hosted only.) is secondary: the only source is the vendor's own page; of 2 metrics, 0 are verifiable yes, 0 partial and 2 no. [ev-0991]
Client profile as published
- Client
An athletic apparel retailer.
(the vendor's description; the vendor does not name the client)- Segment
- Fashion and apparel
- Region
- not stated in the source
- Channels
- not stated
- Size indicators
- none given
The client description and size indicators are quoted from the source; segment, region and channels are this site's classification. [ev-0991]
Systems in scope
- Integrations (downstream inventory systems): named in the Challenge and Our Solution sections
Where the source names each system is quoted or summarised from the case page. [ev-0991]
Problem as stated
The retailer ran its automation suites through its previous CI service, which needed the automation team to start each run by hand. Delivery dates therefore depended on that team. Test data was also a problem: inventory gaps in downstream systems made most frontend automation tests fail, and hard-coded data added manual work. [ev-0991]
almost 90% of frontend automation tests failed(quoted from the source)
Approach
- Testing types
- automation (main scope: automation)
- Team shape
- not stated
- Duration
- not stated
- Engagement model
- not stated
- Tooling named in the source
- Jenkins, Jenkins Shared Services, TestNG, Selenium, TestRail, GitLab, Travis CI (previous CI tool)
Metrics claimed
What the case does not say
- Measurement method.
- Duration over which the metric held.
- Team size on both sides.
- Cost.
- What was out of scope.
- Whether the client is still a client.
- Date of the work.
Reading notes for a buyer
This case speaks to the scenario “First outsourced QA team for a mid-size retailer” and feeds dimension D4 (Test automation evidence) of the methodology. A question to put to GSPANN:
Over how many runs and what period was the script failure rate measured, and does it count all failures or only test data failures? [ev-0991]
Source and verification
- Source
- Launch Faster by Elevating Code Quality with Jenkins CI/CD
- Published
- not dated by the vendor
- Verified
- 2026-10-30
- Evidence grade
- secondary
- Corroborating sources
- none found
| Id | Claim | Source | Class | Grade | Published | Verified |
|---|---|---|---|---|---|---|
| ev-0991 | Launch Faster by Elevating Code Quality with Jenkins CI/CD | Launch Faster by Elevating Code Quality with Jenkins CI/CD | vendor-case-study | secondary | 2026-10-30 | |
| ev-1583 | 83% drop in the test failure rate | Accelerate Time-to-Market with Jenkins CI/CD Pipeline | vendor-case-study | secondary | 2026-10-30 | |
| ev-1584 | With the new system, only 7% of the scripts fail due to test data issues, which is an incredible improvement against the previous failure rate of 90%. | Accelerate Time-to-Market with Jenkins CI/CD Pipeline | vendor-case-study | secondary | 2026-10-30 |
Vendor profile: GSPANN.
Positions on this page are computed from the methodology published at /methodology/ and from the evidence records linked on this page. Case study figures are the vendor's or the client's claims as published at the linked source; the "verifiable" column states what this site could check. The site does not recommend vendors, does not accept paid placement and does not publish rates. Last computed: 2026-11-03.
Published by the editor of retailqavendors.com. Last reviewed .