Utilizing Intelligent Data Integration to Automate Sales Data & Rebate Processing

The Approach

Chetu’s goal was to replace the client’s fragmented, manual processes with a robust, scalable data integration system, built with Azure technologies and modern data warehousing.

Key Actions Taken:

• Build automated pipelines that connect to multiple distributor FTP servers

• Automatically ingest and transform multiple data types(CSV, Excel, proprietary)

• Cleanse, map, and validate data using dynamic schema discovery

• Store clean data in a Snowflake data warehouse for centralized access

• Reformat and send data to manufacturers in the required formats via secure FTP

• Establish automated scheduling and monitoring for reliability and transparency

All of this was guided by our proprietary ConstructionAI Framework, which allowed us to move quickly, iterate intelligently, and deliver a strong technology customized enterprise-scale construction.

Dynamic Data Transformation

• Schema Detection: Automatically identifies the structure of incoming files

• Mapping & Cleansing: Converts fields to standard format, removes duplicates, resolves missing fields, and standardizes date formats

• Validation Rules: Makes sure the accuracy of data before loading into the warehouse

Centralized Data Storage in Snowflake

A unified data warehouse stores all cleaned & transformed sales data, allowing efficient querying, auditability, and analytics.

Manufacturer-Specific Data Outputs

The system filters, aggregates, and formats data according to each manufacturer’s needs, then sends it securely via FTP.

Scalable, Monitored Pipelines

ADF pipelines are fully automated and monitored using Azure Monitor to flag failures and productivity declines.

The Impact

The solution transformed how the client processes and manages rebate data, delivering measurable business benefits:

Designed for large construction firms, this 9-step innovation benefits organizations:

• Efficiency Gains: Automated ingestion and rebate workflows reduce manual workload

• Improved Accuracy: Validation and standardization cut down on rebate errors

• Full Visibility: A centralized system provides sales and refund transparency to all stakeholders

• Scalability: Easily supports growth in distributor and manufacturer partnerships

• Faster Processing: Rebate cycles are shortened, strengthening external relationships

• Data-Driven Decisions: Better data quality fuels smarter, faster strategic choices

• Lower Operational Costs: Automation reduces time, labor, and error-related expenses

Centralize, Sync, and Integrate Your Data in 5 Simple Steps

Eliminate silos and get real-time insights with Chetu’s customizable Big Data Sync Framework.