Context A large industrial manufacturer with a complex catalog of pumps, motors, and engineered systems faced high support load and slow product selection, especially from distributors and channel partners
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Impact of Conversational Chatbot Deployed AI chatbot integrated with ERP, CRM, and product catalog. Enabled natural-language product discovery based on use-case,…
Context: A multi-billion agri input & chemicals manufacturer operating distributed sales channels and dealer networks.
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CDI Impact: Unified data across SAP, CRM, distributor systems Real-time insights for sales, claims, credit, inventory, and channel performance Automated exception alerts for delays and anomalies Leadership insights available 24×7 via conversational interface Improved demand…
Context A major industrial products company with complex B2B operations, long quote-to-order cycles, and disconnected ERP/CRM systems.
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CDI Impact: Connected Data Fabric + ERP + CRM enabled natural-language access to quote conversion, order pipeline, customer performance, plant-level data Reduced reporting cycle from 4 hours → real-time Improved visibility into sales…
Challenge Inconsistent product data across thousands of brands and sellers.
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PC² Impact: AI ingestion + competitive mapping + standardized output. Results: Clean taxonomy-aligned catalog 30% higher filter accuracy 2× faster listing readiness
Challenge Supplier PDFs, spec sheets, and images caused major delays in catalog creation.
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PC² Impact: Automated extraction + taxonomy mapping + SEO copy generation. Results: 70% reduction in manual catalog work 45% improvement in attribute completeness Faster onboarding for 200+ suppliers
A leading B2B distributor in landscaping and construction products struggled with millions of inconsistent item, customer, and supplier records across ERP and eCommerce systems.
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Athena Impact Deployed Athena as a central data quality engine. Applied AI / ML-based deduplication and taxonomy validation to cleanse item, customer, and supplier masters. Implemented…
Context A global retail enterprise managing thousands of sellers and millions of SKUs struggled with inconsistent, incomplete, and non-compliant item data flowing into its Stibo PIM system. Sellers submitted product information with varying formats, missing attributes, wrong classifications, and category-level inconsistencies—leading to poor searchability, slow onboarding, and operational inefficiencies across the value chain.
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Business Challenge
A leading eyewear brand wanted to elevate its visual storytelling — including product imagery, lifestyle shots, infographics, banners, and A+ content — while reducing dependency on costly photoshoots and long creative cycles.
Traditional development cycles were slow and resource-intensive, delaying time-to-market for new features and updates.
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The Solution…
Business Challenge A leading UAE-based conglomerate with multiple retail and distribution businesses had already launched its eCommerce website. However, the platform needed continuous enhancements, feature upgrades, mobile optimization, and performance improvements to stay competitive and deliver a seamless omnichannel experience. Traditional development cycles were slow and resource-intensive, delaying time-to-market for new features and updates.
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Business Challenge A leading North American home improvement retailer managed millions of product SKUs sourced from thousands of suppliers. Much of the product information was shared via PDF spec sheets, catalogs, and data sheets, creating several challenges: Manual extraction was time-consuming and error-prone, delaying item onboarding. Incomplete or inconsistent product data reduced catalog quality and…
Business Challenge A leading North American B2B distributor with a large and diverse product catalog faced significant data quality challenges. Decades of growth, acquisitions, and supplier feeds had resulted in: Duplicate item records with inconsistent SKUs, descriptions, and attributes Redundant customer accounts causing fragmented sales and service visibility Overlapping supplier entries complicating procurement…
Business Challenge A leading global home furnishing e-retailer faced challenges in building accurate AI/ML models for image understanding. Unstructured, inconsistently labeled image data limited their ability to power personalized recommendations, visual search, and rich product experiences. As a result, product discovery, engagement, and conversion rates were below potential.
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The Solution…
