Enabling Faster, Smarter Product Inquiry Resolution with AI-Powered Product Intelligence
- Dec 24, 2025
- 2 min read
Updated: Feb 16
A leading industrial e-commerce and MRO platform operating across both online and offline channels manages a complex product portfolio of over million SKUs, spanning multiple manufacturers, categories, and technical specifications.
With high volumes of product inquiries coming through multiple touchpoints, internal teams were required to rapidly interpret customer specifications, identify suitable or alternative products, and deliver accurate quotations—often under significant time pressure and with incomplete information.
The Challenge
Handling industrial product inquiries at scale presented several operational challenges:
Customers frequently submitted incomplete, non-standard, or inconsistent specifications, requiring additional interpretation and clarification
Many inquiries included large Bills of Materials (BOMs)—often containing hundreds or even thousands of line items—that needed to be reviewed, mapped, and validated efficiently
Exact product matches were not always available, requiring:
Specification-based interpretation
Identification of suitable cross-brand alternatives
Manual processing of bulk product lists was:
Time-consuming
Highly dependent on individual staff experience
Prone to inconsistency and human error across teams
Together, these factors increased quotation turnaround time and limited the team’s ability to scale inquiry handling efficiently.
Objective
Accelerate product inquiry resolution and quotation turnaround
Standardize how teams interpret and respond to product specifications
Reduce dependency on individual product knowledge
Enable new and existing staff to handle complex inquiries confidently
Improve overall quality of product recommendations and quotations
Our Approach
Product Mapping

Allows staff to upload or paste customer product specifications (text, Excel, images)
Maps customer requirements directly to relevant company products
Flags:
Exact matches
Non-exact matches
Cases requiring additional information
Provides direct product URLs and stock visibility
Outcome: Faster identification of relevant SKUs and reduced manual searching.
Product Cross Reference

Enables lookup using:
Manufacturer part numbers
Specification-based attributes
Identifies:
Direct equivalents
Approved alternative products across brands
Supports multi-country company catalogs when applicable
Outcome: Higher success rate in finding viable alternatives when exact matches are unavailable.
Product Compare Table

Generates side-by-side comparison tables of multiple products
Highlights:
Key specifications
Functional differences
Application suitability
Includes recommendation notes for non-direct substitutes
Outcome: Clear, defensible product recommendations for both staff and customers.
Product Advice & Inquiry Intelligence

Provides AI-assisted, conversational product guidance—enabling teams to ask questions and receive context-aware product recommendations, similar to interacting with an internal product expert.
Responds to free-form questions about products, specifications, compatibility, and application use
Recommends suitable product options based on:
User needs
Technical specifications
Intended application
Supports clarification of incomplete or unclear requirements through guided questioning
Enhances staff confidence when handling complex or unfamiliar product inquiries
Results
Results reflect operational impact observed after deployment, based on internal performance tracking—transforming complex product inquiries into faster, more accurate decisions at scale.
Faster Specification Interpretation
Accelerated Quotation Turnaround
Reduced
Human
Error
Improved Recommendation Consistency
Stronger
Team
Confidence
Scalable
Operational
Capacity
Key Insight
AI delivers the greatest value when it amplifies human expertise and embeds intelligence directly into everyday decision-making.
By integrating product intelligence into daily workflows, teams were able to respond faster, reduce human error, and deliver more consistent, accurate recommendations—transforming complex product inquiries into structured, repeatable processes that scale with both team growth and business demand.









