Reduced Search Validation Time by 70% for a Global Retail Brand Using UiPath 

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Client Overview

On any given day, thousands of customer searches decide what gets sold or ignored. For a global retail brand with a rapidly scaling e-commerce platform, manual validation began to fall behind the pace of growth.
As product volumes grew, existing approaches failed to capture the intent behind customer searches. The client needed a more structured and automated way to validate search relevance.

Matching Products to Search Intent Was Challenging

Search accuracy was a daily responsibility for teams managing product discovery across a growing catalog of apparel. The expectation was simple: a search for a “slim fit blue blazer” should return exactly that, but it often didn’t.

Teams had to run searches, review results, and decide relevance. Existing methods focused on keyword matches, instead of meaning, so results often looked close but missed what the customer actually intended.
01

Search Accuracy Goal

The client tried to match search results with what customers were looking for.

02

Manual Validation Effort

Search checks were time-intensive and error-prone, relying heavily on human judgment and repeated effort.

03

Inconsistent Validation Output

Different reviewers reached different conclusions, making validation results unreliable and hard to standardize.

04

Scaling Validation Limits

Continuous validation became difficult as catalog updates and seasonal changes increased the volume of searches.

05

Intent Understanding Gap

Systems failed to interpret context like fit, color, or style, leading to mismatched search results.

06

Business Impact Risk

Poor search relevance directly affected customer experience and reduced the chances of conversion.

The Impact on Daily Operations

Search validation became a continuous operational effort rather than a periodic check.

As gaps persisted, teams began facing delays in reviews, missed issues going live, and limited control over how search was performing across the platform.

Slower Turnaround

Review cycles increased the time needed to push updates and fixes.

Rising Backlogs

Unchecked queries accumulated and teams spent time clearing pending work instead of staying current.

Late Issue Visibility

Problems were identified after going live. Fixing them required additional effort and time.

Productivity Drain

Teams spent significant time on repeated reviews, which reduced their focus on process improvement work.

Limited Oversight

There was no clear view of how search performed across different scenarios and conditions.

Revenue Leakage

Irrelevant outcomes reduced purchase chances. This directly affected overall sales performance.

Solved Complex Search Validation with UiPath

Indium started by mapping search validation across teams, step by step, from query checks to final review. This revealed delays, gaps, and what the business needed to achieve consistently.

UiPath was then applied to structure the workflow around these needs and bring consistency into how validation was executed.

01

Real User Simulation

Automation ran real search queries on the live site, replicating how customers search and interact with results.

02

Intent-Based Evaluation

Gen AI analyzed product data and images to check if results matched what the search actually meant.

03

Search Accuracy Scoring

Each query received a score, giving teams a clear view of how well results matched expected relevance.

04

End-to-End Hyperautomation

Data capture, analysis, reporting, and updates were handled in a single flow without manual intervention.

05

Automated Result Analysis

Search outputs were reviewed against expected outcomes, reducing manual comparison effort across multiple queries.

Outcome: Faster Checks, Better Accuracy

Search validation moved from manual effort to a faster, measurable process. The client could rely on consistent results and act on issues without delay.

40% Less Manual Effort

Manual effort reduced across teams, cutting down time spent on repetitive search checks.

01

70% Faster Validation Cycles

Validation cycles completed faster, enabling quicker review of search results and issue resolution.

02

95% Consistent Validation

Validation results became consistent across teams, improving reliability in how search performance was assessed.

03

Confidence in Every Search Result

Teams gained clearer control over search performance across queries, improving confidence in validation outcomes.

04

Search Validation is No Longer a Manual Burden

UiPath now orchestrates the entire validation flow, and search checks run as a connected process instead of separate tasks. There is clear visibility into how results perform across queries without constant manual involvement.

Repeated reviews are no longer required. What once demanded constant attention now runs reliably in the background, giving the client clarity and control.

About Indium

Indium is an Al-driven digital engineering company that helps enterprises build, scale, and innovate with cutting-edge technology. We specialize in custom solutions, ensuring every engagement is tailored to business needs with a relentless customer-first approach. Our expertise spans Generative Al, Product Engineering, Intelligent Automation, Data & Al, Quality Engineering, and Gaming, delivering high-impact solutions that drive real business impact.

With 5,000+ associates globally, we partner with Fortune 500, Global 2000, and leading technology firms across Financial Services, Healthcare, Manufacturing, Retail, and Technology-driving impact in North America, India, the UK, Singapore, Australia, and Japan to keep businesses ahead in an Al-first world.

info@indium.tech