--- title: "Automating data processing for a supply chain company with AI-driven workflows" date: 2024-09-07 author: "alex.lukashevich" featured_image: "https://stage.spiralscout.com/wp-content/uploads/2025/01/Sourcing-Value-preview_1.jpg" --- # Automating data processing for a supply chain company with AI-driven workflows ![Sourcing Value logo](https://stage.spiralscout.com/wp-content/uploads/2025/01/Sourcing-Value-logo.png "Sourcing Value logo") [Sourcingvalue.com](https://sourcingvalue.com) # Transforming Sourcing Value’s manual data processing with AI ### AI-POWERED DATA PROCESSING ### 90% REDUCTION IN MANUAL EFFORT ### SEAMLESS WORKFLOW Integration ![AI-powered data processing](https://stage.spiralscout.com/wp-content/uploads/2025/01/hero.jpg "AI-powered data processing") About [About](#about-project) [Challenges & Solutions](#challenges-and-solutions) [Strategy](#highlights) [Results](#services) [Reviews](#review-and-clutch) ## About THE Project Sourcing Value faced major inefficiencies in processing and normalizing data from various suppliers along their supply chain. With Excel files arriving in inconsistent formats each month, their team was spending excessive time manually cleaning, mapping, and integrating data before it could be used for business operations. The goal was clear—eliminate bottlenecks, reduce human intervention, and automate data transformation with precision. Spiral Scout stepped in with an AI-driven solution powered by [Wippy, an agentic AI framework](https://www.wippy.ai/), to streamline data ingestion, validation, and formatting. ingestion, validation, and formatting. The result? A system that turns weeks of manual work into minutes, freeing up their team to focus on higher-value tasks. ## Objectives - Automate the data processing pipeline, minimizing manual intervention. - Accurately map and format incoming data from diverse suppliers. - Reduce operational delays caused by data inconsistencies. - Seamlessly integrate with existing enterprise tools and workflows. ![About project Sourcing Value](https://stage.spiralscout.com/wp-content/uploads/2025/01/About-project-1.jpg "About project Sourcing Value") ## Challenges ## Solutions Challenges Managing Unstructured and Inconsistent Data Sourcing Value received data from multiple sources in different formats, leading to errors, inefficiencies, and wasted time spent on manual cleanup. Solutions [AI Workflow Automation](https://stage.spiralscout.com/services/ai-implementation/ai-agent-automation) We built an AI-powered processing system for Excel files that automatically recognizes, normalizes, and structures incoming data without requiring human input and gets it into the correct format. Challenges Long Processing Times Delaying Decision-Making The manual workflow required over a month to process and validate data, slowing down critical business decisions. Solutions Use Agents to Speed up Decision Making Our automation framework cut review and processing time by 90%, reducing a month of effort for a single person into just minutes for the first execution, after we spent 30 minutes training a data AI Agent for them on a single call with their team. Challenges Risk of Human Error & Data Quality Issues Manual data handling introduced inconsistencies, created extra work for engineers who would have to reupload files and risked incorrect financial forecasts and supply chain decisions. Solutions Keeping a Human in the Loop With AI-driven validation and auto-correction, data accuracy improved to over 90%, providing reliable, ready-to-use datasets and we introduced a step where the employee could review all the work for accuracy. Challenges Scalability & Integration with Existing Systems The previous approach wasn’t scalable, making it difficult to maintain it and adapt as data volume increased. Solutions API and EDI Connectors We [implemented a multi-agent AI system,](https://stage.spiralscout.com/services/ai-implementation/ai-agent-automation) enabling seamless integration with existing APIs and EDI connectors, ensuring the solution scales effortlessly with business needs. ![Challenge for project](https://stage.spiralscout.com/wp-content/uploads/2025/01/Challenge-2.jpg "Challenge for project") ## OUR Project strategy We knew [Wippy.ai](https://www.wippy.ai/) could solve this issue but what shaped the project’s success and addressed its key challenges. ![Streamlining data processing with AI automation](https://stage.spiralscout.com/wp-content/uploads/2025/01/mmhwgfbq-strategy-01-3-.jpg "Strategy 01") ### AI-Powered Data Processing Engine Developed an advanced AI model that understands, maps, and restructures data dynamically, significantly reducing errors and inconsistencies. ![Streamlining data processing with AI automation](https://stage.spiralscout.com/wp-content/uploads/2025/01/dvaddfem-strategy-02-2-.jpg "Strategy 02") ### Multi-Agent AI Automation Leveraged Wippy’s multi-agent system, allowing different AI models to specialize in data validation, transformation, and workflow execution. ![Streamlining data processing with AI automation](https://stage.spiralscout.com/wp-content/uploads/2025/01/lcgrgg6e-strategy-03-.jpg "Strategy 03") ### Seamless System Integration Built custom API and EDI connectors to integrate the automated workflow directly into Sourcing Value’s enterprise systems. ## Project results By transitioning from a labor-intensive data management process to an AI-driven automation system, Sourcing Value dramatically improved operational efficiency, reduced risk, reduced errors, saved an employee’s sanity and positioned itself for scalable growth. ## Key Outcomes - **90% reduction** in manual processing time, enabling near-instant data validation. - **15-minute turnaround** for initial execution, compared to **over a month** previously. - Up to 90% accuracy in data mapping, ensuring minimal need for manual corrections. - **Automated workflow integration**, improving efficiency and decision-making across the organization. ![Results of the project](https://stage.spiralscout.com/wp-content/uploads/2025/01/Results-1.jpg "Results of the project") ![Spiral Scout logo](https://stage.spiralscout.com/wp-content/uploads/2024/11/SS_logo.png "Spiral Scout logo") ## We focused on creating a scalable, automated solution that addressed the client’s most pressing challenges, allowing them to focus on their core operations without worrying about data inconsistencies and processing delays. ![JD, CTO, Co-founder](https://stage.spiralscout.com/wp-content/uploads/2024/11/umz-m6a7-gjikq-is-anton-jd-titov-1--150x150.png "JD, CTO, Co-founder") ### Anton Titov CTO, Co-founder **of Spiral Scout** --- [ 4.9 Based on 52 reviews ](https://clutch.co/profile/spiral-scout?utm_source=widget&utm_medium=1&utm_campaign=widget&utm_content=num_reviews&utm_term=spiralscout.com#reviews) ### OVERALL SCORE At Spiral Scout, we believe that when it comes to software development and delivery, it’s time for a change. ### 5.0 #### SCHEDULING On Time / Deadline ### 5.0 #### QUALITY Service & Deliverables ### 4.0 #### COST Value / Within Estimates ### 5.0 #### NPS Willing to Refer ## Related projects - ![Proxa preview](https://stage.spiralscout.com/wp-content/uploads/2026/04/proxa-preview.png "Proxa preview") ![proxa-logo-w-text](https://stage.spiralscout.com/wp-content/uploads/2026/04/proxa-logo-w-text.svg "proxa-logo-w-text")### Agent-Driven AI Data Hub with Grounded Executive Reporting Grounded AI retrieval, generative reporting, and conversational search for an executive data hub. Trusted answers. Stack owned by their team. AI Agents, Agentic Retrieval, Generative UI [Link](https://stage.spiralscout.com/case/agent-driven-ai-data-hub-proxa) - ![preview](https://stage.spiralscout.com/wp-content/uploads/2026/04/preview-2.png "preview") ### Temporal Workflow Architecture Consulting for Enterprise Data Services Architecture consulting for a visual workflow editor built on Temporal, enabling cross-department automation at enterprise scale. Workflow Orchestration, Temporal, Visual Workflow Editor [Link](https://stage.spiralscout.com/case/temporal-workflow-architecture-consulting-enterprise) - ![Preview](https://stage.spiralscout.com/wp-content/uploads/2026/03/Preview-1.png) ### Market Discovery & System Framing for an AI-Driven Investor Relations Platform Established the architectural and market foundation for an AI-native earnings call product. AI-Assisted Workflows, Discovery, Investor Relations, Capital Markets [Link](https://stage.spiralscout.com/case/ai-investor-relations-market-discovery) - ![Preview](https://stage.spiralscout.com/wp-content/uploads/2026/03/Preview-3.png) ### Conversational CRM Agent Orchestration for Salesforce-Native SaaS Shipped a resilient multi-agent architecture that turns complex Salesforce CRM data into a conversational interface for sales teams. AI Agent Automation, Workflow Orchestration, Salesforce Integration [Link](https://stage.spiralscout.com/case/conversational-crm-agent-salesforce) - ![Staq](https://stage.spiralscout.com/wp-content/uploads/2024/08/Staq.jpg) ![Staq logo](https://stage.spiralscout.com/wp-content/uploads/2024/08/Staq_idQ95uE_5__0.svg)### Agentic Workflow Orchestration for Autonomous Banking Infrastructure Architected a Temporal-backed agentic runtime for a fintech platform shipping autonomous financial workflows to regulated markets. AI Agents, Temporal Orchestration, Fintech/Banking [Link](https://stage.spiralscout.com/case/agentic-workflow-orchestration-autonomous-banking) - ![Car Advise Preview](https://stage.spiralscout.com/wp-content/uploads/2026/03/Car-Advise-Preview.png) ![CA Logo](https://stage.spiralscout.com/wp-content/uploads/2026/03/CA-Logo-Fearless-Orange.svg)### Designing Agentic Control Systems for Data Integrity & Financial Readiness Engineered a configuration system replacing tribal knowledge with enforced rules, deployed to distributors without IT drag. AI Agents, Data Governance, Workflow Orchestration [Link](https://stage.spiralscout.com/case/agentic-control-system-design-automotive-marketplace) ## Have a similar ai data project? Let’s discuss. WHAT’S NEXT 1 Meet the founders 2 Tell us your goals 3 Receive a proposal 4 Project kickoff ![John Griffin](https://stage.spiralscout.com/wp-content/uploads/2026/04/John.png "John Griffin")### John Griffin Co-Founder, CEO ![Anton JD Titov](https://stage.spiralscout.com/wp-content/uploads/2026/04/Anton-2.png "Anton JD Titov")### Anton “JD” Titov Co-Founder, CTO *“Anton is an exceptional technologist. I would feel comfortable having him work on any technical challenge.”* – Ryland Goldstein, Head of Product, Temporal