QueryXpert Real-Time Natural Language to SQL for SAP + Cloud
Business leaders at a multinational manufacturing group were frustrated by their dependence on IT to run even basic reports. HUB-AI designed and deployed QueryXpert — an AI-powered natural language to SQL system purpose-built for SAP S/4HANA and BigQuery, enabling non-technical users to ask business questions in plain English and receive instant, accurate answers.
< 5 min
Reporting time (down from 3 business days)
2.5x
More insights generated per user per week
> 90%
Query resolution in under 5 seconds
Unified
SAP + GCP analytics via one interface
Sector
Manufacturing
Duration
16 weeks
Team Size
8–12
Model
End-to-End Platform Design & Deployment
Region
Global
Client Context
SAP systems are rich in business data but notoriously difficult to query. Business leaders at a multinational manufacturing group were frustrated by their dependence on IT to run even basic reports. While the organization had invested in SAP S/4HANA and Google Cloud Platform (GCP), they lacked the ability to convert operational data into real-time insights.
To address this, HUB-AI designed and deployed QueryXpert — an AI-powered natural language to SQL system purpose-built for SAP S/4HANA and BigQuery. It enabled non-technical users to ask business questions in plain English and receive instant, accurate answers.
The Challenge
High reliance on SQL experts, long reporting turnaround, and no unified analytics across SAP + GCP datasets bottlenecked decision-making.
The client's operations spanned procurement, sales, quality control, production planning, and finance. Despite having centralized SAP modules and cloud-hosted data on GCP, access was bottlenecked by technical dependencies:
- High reliance on SQL experts to run queries manually
- Long turnaround times for generating reports
- No unified analytics across SAP + GCP datasets
- Low agility for decision-making in daily operations
As business questions became more complex, IT teams were stretched thin and reporting lagged behind operational needs.
Delivery Model
We delivered a proprietary solution, QueryXpert, designed to translate natural language questions into optimized SQL, access SAP data via SAP Data Intelligence and GCP BigQuery, enable live dashboards and executive summaries, and continuously learn and improve through real-time feedback loops.
Key capabilities included Retrieval-Augmented Generation (RAG) for SAP metadata query mapping, self-healing queries with error detection and correction on the fly, a unified query hub for both SAP HANA and BigQuery, and role-based dashboards auto-generated for Sales, Ops, and Finance teams.
Phase 1 — Discovery & Data Mapping
Identified key SAP tables (MM, SD, FICO, PP, QC). Mapped SAP metadata for semantic search training. Designed intent-based query types for each department.
Phase 2 — Model Development
Built a domain-specific NL-to-SQL parser. Implemented RAG using Data Catalog + historical queries. Integrated BigQuery optimizer to improve execution latency.
Phase 3 — Integration
Connected QueryXpert to SAP Data Intelligence via API. Enabled real-time query execution across SAP and GCP. Developed dashboards for finance, sales, and operations.
Phase 4 — Rollout & Feedback Loop
Released pilot to 20+ non-technical users. Captured failed queries and retrained model weekly. Achieved >90% query resolution in under 5 seconds.
Tech Stack
AI Layer
Query Execution
Data Mapping
Ingestion Layer
Backend / API
Frontend / Dashboards
Infra & Security
Business Outcome
QueryXpert eliminated manual SQL dependency entirely, reducing reporting time from 3 business days to under 5 minutes. Team productivity increased by 2.5x in insights generated per user per week. The platform enabled unified SAP + GCP analytics through a single interface and delivered real-time visibility on sales, purchase orders, and quality metrics.
Get In Touch
Let's build what's next
Tell us about your challenge. Our team will respond within one business day with a tailored perspective on how we can help.