a1qa and an anonymised specialty retailer: SAP Commerce 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 19 metrics, 0 are verifiable yes, 0 partial and 19 no. [ev-1545]
Client profile as published
- Client
one of the leading US-based manufacturers of home appliances
(the vendor's description; the vendor does not name the client)- Segment
- Specialty retail
- Region
- United States
- Channels
- ecommerce
- Size indicators
operating globally and possessing several trademarks offering an extensive blend of products
;Seven brands in different locales.
;B2B and B2C dimensions
The client description and size indicators are quoted from the source; segment, region and channels are this site's classification. [ev-1545]
Systems in scope
- Ecommerce platform (SAP Commerce Cloud (SAP Hybris Commerce Platform)): named in the Challenges section ("migration to SAP Hybris Commerce Platform") and the functional testing section ("SAP Commerce Cloud customizable features")
- Payments (Paymetric, PayPal, Affirm): named in the functional testing section ("Each payment platform (Paymetric, PayPal, Affirm)")
- Integrations: named in the services list ("Integration testing") and the Configured Accertify section
Where the source names each system is quoted or summarised from the case page. [ev-1545]
Problem as stated
To cut hosting costs the client was moving to SAP Hybris, but standard features did not fit its needs and the promotion module needed heavy customization. Its in-house Black Friday test plan did not cover all user behavior in peak periods. Several subprojects tested in their own ways, which left testing out of sync, and US state tax rules had to be checked. [ev-1545]
their Black Friday testing strategy wasn’t fully defined(quoted from the source)
Approach
- Testing types
- functional, automation and performance (main scope: automation)
- Team shape
- 33 QA experts involved; teams ramped up or down upon client's request
- Duration
- 4+ years of the project duration
- Engagement model
- not stated
- Tooling named in the source
- VPN GlobalProtect, Citrix Workspace, WebPageTest, Apache JMeter, Dynatrace, Postman, SAP ECC, SAP Java Connector, Splunk, PuTTY, Selenium, Cucumber, G Suite
Metrics claimed
| Metric | Value | Unit | Claimed by | Verifiable | Evidence |
|---|---|---|---|---|---|
| annual saving (case heading) | $120K | USD per year | vendor | no | ev-1546 |
| operational cost reduction (Results) | 120K | per year | vendor | no | ev-1547 |
| brands in different locales | Seven | brands | vendor | no | ev-1548 |
| brands serving commercial purposes | five | brands | vendor | no | ev-1549 |
| release cadence | once every 2-3 weeks | weeks | vendor | no | ev-1550 |
| automated scripts | around 5,000 | automated scripts | vendor | no | ev-1551 |
| manual testing days saved in two months | 50 | business days | vendor | no | ev-1552 |
| release verification testing time cut (test automation section) | 90 | % | vendor | no | ev-1553 |
| release verification testing time cut (Results) | 90 | % | vendor | no | ev-1554 |
| manual testing days saved overall (Results) | hundreds | business days | vendor | no | ev-1555 |
| performance test scripts developed | around 200 | performance test scripts | vendor | no | ev-1556 |
| load test length | 8 | hours | vendor | no | ev-1557 |
| increase in number of potential users | 30 | % | vendor | no | ev-1557 |
| download time decrease (Results) | 30 | % | vendor | no | ev-1558 |
| project duration (stat block) | 4+ | years | vendor | no | ev-1559 |
| QA experts involved (stat block) | 33 | QA experts | vendor | no | ev-1560 |
| automated test cases prepared (stat block) | 5,000+ | automated test cases | vendor | no | ev-1561 |
| loading speed increase (stat block) | 30 | % | vendor | no | ev-1562 |
| performance scripts written (stat block) | 200+ | performance scripts | vendor | no | ev-1563 |
What the case does not say
- Baseline before the engagement.
- Measurement method.
- Duration over which the metric held.
- 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 “Peak-season readiness in 90 days” and feeds dimension D3 (Peak-season and performance evidence) of the methodology. A question to put to a1qa:
What peak concurrent user load did the Black Friday tests reach, and what baseline do the download time and loading speed gains use? [ev-1545]
Source and verification
- Source
- QA support to a large-scale manufacturer of home appliances
- 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-1545 | Manufacturing · $120K saved annually with optimized QA toolset and test automation | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1546 | $120K saved annually with optimized QA toolset and test automation | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1547 | Reduced operational costs by 120K per year due to the selection of a more economical testing tool. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1548 | Seven brands in different locales. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1549 | Amid them, five brands serve commercial purposes, although, the availability of some functions depends on the country. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1550 | The client delivers new functionality once every 2-3 weeks. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1551 | The number of automated scripts skyrocketed and reached around 5,000. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1552 | Test automation introduction was effective: in just two months, it contributed to saving 50 business days of the manual testing team consisting of 4 people. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1553 | All in all, test automation by a1qa curtailed the time required for release verification testing by 90%. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1554 | Accelerated time to benefit due to test automation best practices, which contributed to cutting the release verification testing time by 90%. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1555 | Faster time to benefit and reduced operational cost due to test automation implementation, which saved hundreds of business days of manual testing teams. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1556 | The team developed around 200 performance test scripts. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1557 | The team carried out 8-hour load tests, and the number of potential users was increased by 30%. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1558 | Improved solutions’ performance and stability owing to building the test approach from the ground up, decreasing the download time by 30%, and ensuring unhindered operation of all websites during Black Friday. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1559 | 4+ years of the project duration | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1560 | 33 QA experts involved | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1561 | 5,000+ automated tests cases prepared | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1562 | 30% increase in loading speed of all eCommerce solutions | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1563 | 200+ performance scripts written | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 |
| Id | Claim | Source | Class | Grade | Published | Verified |
|---|---|---|---|---|---|---|
| ev-1545 | Manufacturing · $120K saved annually with optimized QA toolset and test automation | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1546 | $120K saved annually with optimized QA toolset and test automation | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1547 | Reduced operational costs by 120K per year due to the selection of a more economical testing tool. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1548 | Seven brands in different locales. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1549 | Amid them, five brands serve commercial purposes, although, the availability of some functions depends on the country. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1550 | The client delivers new functionality once every 2-3 weeks. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1551 | The number of automated scripts skyrocketed and reached around 5,000. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1552 | Test automation introduction was effective: in just two months, it contributed to saving 50 business days of the manual testing team consisting of 4 people. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1553 | All in all, test automation by a1qa curtailed the time required for release verification testing by 90%. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1554 | Accelerated time to benefit due to test automation best practices, which contributed to cutting the release verification testing time by 90%. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1555 | Faster time to benefit and reduced operational cost due to test automation implementation, which saved hundreds of business days of manual testing teams. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1556 | The team developed around 200 performance test scripts. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 |
Show 7 more evidence records
| Id | Claim | Source | Class | Grade | Published | Verified |
|---|---|---|---|---|---|---|
| ev-1557 | The team carried out 8-hour load tests, and the number of potential users was increased by 30%. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1558 | Improved solutions’ performance and stability owing to building the test approach from the ground up, decreasing the download time by 30%, and ensuring unhindered operation of all websites during Black Friday. | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1559 | 4+ years of the project duration | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1560 | 33 QA experts involved | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1561 | 5,000+ automated tests cases prepared | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1562 | 30% increase in loading speed of all eCommerce solutions | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 | |
| ev-1563 | 200+ performance scripts written | QA support to a large-scale manufacturer of home appliances | vendor-case-study | secondary | 2026-10-30 |
Vendor profile: a1qa. System facet: Ecommerce platform testing vendors.
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 .