ScienceSoft and an anonymised omnichannel retailer: Loyalty performance testing 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 4 metrics, 0 are verifiable yes, 0 partial and 4 no. [ev-1705]

Client profile as published

Client
a Finnish retailing conglomerate engaged in the food trade, home and specialty goods trade, building and home improvement trade, car and machinery trade (the vendor's description; the vendor does not name the client)
Segment
Enterprise omnichannel
Region
Finland
Channels
stores
Size indicators
more than 3,000 outlets; over 40 cooperation partners; the widest and the most diverse customer loyalty program in Finland

The client description and size indicators are quoted from the source; segment, region and channels are this site's classification. [ev-1705]

Systems in scope

  • Loyalty: named in the title and the Challenge section (customer loyalty program application)

Where the source names each system is quoted or summarised from the case page. [ev-1705]

Problem as stated

The client runs a loyalty program that gives members benefits across thousands of outlets and dozens of partners. Shortly before the program's application was due for release, the client needed a provider to test its performance. It wanted to know how many users the app could serve at once, whether it stayed stable under long load, where the bottlenecks were, and how it behaved under stress. [ev-1705]

right before the application’s release (quoted from the source)

Approach

Testing types
performance (main scope: performance)
Team shape
not stated
Duration
120h for the whole project including scripting, test runs, analysis and reporting
Engagement model
project
Tooling named in the source
none named

Metrics claimed

Metrics as published, with who claims each and what this site could check.
MetricValueUnitClaimed byVerifiableEvidence
endurance load target2000 users per hour for 24 hours in a rowusers per hourvendornoev-1378
project effort120hhoursvendornoev-1706
outlets in the loyalty programmore than 3,000outletsvendornoev-1707
cooperation partners in the loyalty programover 40cooperation partnersvendornoev-1707

What the case does not say

  • Baseline before the engagement.
  • Measurement method.
  • 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 “Peak-season readiness in 90 days” and feeds dimension D3 (Peak-season and performance evidence) of the methodology. A question to put to ScienceSoft:

What maximum number of simultaneous users did the app reach in the test, and which load profile produced the hourly user figure? [ev-1705]

Source and verification

Source
Performance Testing of a Loyalty Program Application
Published
not dated by the vendor
Verified
2026-10-30
Evidence grade
secondary
Corroborating sources
none found
Evidence records for this case.
IdClaimSourceClassGradePublishedVerified
ev-1378Whether the application can handle 2000 users per hour for 24 hours in a row.Performance Testing of a Loyalty Program Application - Case Studyvendor-case-studysecondary2026-10-30
ev-1705Performance Testing of a Loyalty Program ApplicationPerformance Testing of a Loyalty Program Applicationvendor-case-studysecondary2026-10-30
ev-1706ScienceSoft’s professionals managed to carry out testing in an extremely short period right before the application’s release: 120h for the whole project including scripting, test runs, analysis and reporting.Performance Testing of a Loyalty Program Applicationvendor-case-studysecondary2026-10-30
ev-1707The Customer owns the widest and the most diverse customer loyalty program in Finland that provides their clients with benefits from more than 3,000 outlets and over 40 cooperation partners.Performance Testing of a Loyalty Program Applicationvendor-case-studysecondary2026-10-30

Vendor profile: ScienceSoft. System facet: Payments and loyalty 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 .