Gartner Research

A Guidance Framework for Implementing Digital Commerce Search

Published: 18 August 2017

ID: G00335285

Analyst(s): Jeffery Skowron


Digital commerce search is an essential function when implemented to optimize the user experience. Technical professionals responsible for commerce search should follow these five steps to solidify foundational components and integrate modern search functionality within their commerce solution.

Table Of Contents

Problem Statement

The Gartner Approach

The Guidance Framework

  • Prework
    • Identify Data Sources
  • Step 1: Create Feeds and Populate Indexes
    • Enhance Your Commerce Dataset
  • Step 2: Implement Multi-interface Query Processing
    • Prominently Expose Your Search Box
    • Integrate via API to Voice and Chatbots
  • Step 3: Configure Search Functionality and Empower Business Users
    • Construct Your Results Handling Pipeline
    • Ensure Data Accuracy by Implementing Postprocessing Logic
    • Enable Assisted Intelligence to Personalize Results
    • Improve Results by Learning From Search Analytics
  • Step 4: Test All Aspects of Your Search Solution
    • Verify Data Indexes
    • Confirm Your Client-Side UI Functionality
    • Exercise Your Search APIs
    • Analyze Search Results
    • Execute Performance Testing
  • Step 5: Enable Continuous Adaption
    • Analyze No Result Queries
    • Feed Your Assisted Intelligence Service
    • Establish Automated Search Monitoring
    • Modify Your Data Index and Data Feeds

Risks and Pitfalls

  • Not Taking Advantage of Tools to Improve Results
  • Lack of Day 2 Process Integration
  • Underfeeding Search AI

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