--- title: AI Case Studies — Results in production | Zentavor description: Zentavor case studies: AI agents, ML, search/RAG and data platforms delivering measurable results across energy, retail, banking and more. canonical: https://zentavor.com/cases.html --- # AI Case Studies — Results in production | Zentavor > Zentavor case studies: AI agents, ML, search/RAG and data platforms delivering measurable results across energy, retail, banking and more. Home / Cases Proof, measured in production Selected engagements across energy, retail, banking and more: AI agents, ML, search and data platforms that moved a real metric. Numbers from production, not slideshow demos 0 cases in production 0 peak audited ROI 0 stores personalized 0 5-yr data-platform ROI Industry AllRetailEnergyBankingOther Capability AllAI AgentsMLSearch & RAGData & Platforms Flagship case · Energy · AI Agents ### Procurement intelligence platform Patented procurement platform for a Fortune 500 industrial group. Recovers overbilling and accelerates supplier onboarding 2–5×. Audited at 200% ROI. 200%audited ROI · patented Azure OpenAILangGraphPostgreSQL Cumulative recovered value→ $2.24M AI Agents & Automation4 cases EnergyAI Agents 200+ active trader users Trading incident assistant GenAI assistant over trading incidents and near-miss corpora. Approved by enterprise AI governance. In productionNDA BankingAI Agents −1/3 cost per ticket Support GenAI Knowledge-grounded ticket triage. Resolved without escalation for nearly half of requests. In productionNDA Customer ServiceAI Agents −60% operator workload · 5 channels Omnichannel AI chat operator (Swaze.ai) One AI operator across Telegram, WhatsApp, Instagram, Messenger and web chat, with seamless human handoff. In production Online GamingAI Agents 36.5% tickets closed by AI copilot Support analytics for online gaming Chats auto-classified and enriched with player context; an AI copilot closes tickets and surfaces anomalies early. In production ML, Forecasting & Personalization12 cases RetailML +3% revenue lift on all users Retail recommendation systems (A/B all users) Personalization across 1 500+ stores. +3% revenue uplift on all users in a 6-week A/B test. In production RetailML 15–20% MAPE on date-shop-SKU Demand forecast (fresh & FROF) Demand forecasting for fresh and rapidly-outgoing food categories on a 45-day horizon. In production RetailML CTR ×1.8 lift on triggered campaigns Smart-push triggers Trigger-based push with ML segmentation; CTR up nearly 2× on trigger campaigns. In production RetailML −18% OOS · revenue recovery Out-of-Stock reduction OOS detection and replenishment ML with multi-year ROI on the supplier-product axis. Pilot delivered RetailML +8–11% additional revenue per year Customer journey personalization 12+ visit types, 80+ micro-segments and cross-channel marketing in one journey model. In production RetailML up to 30% online-sales uplift Omnichannel personalization platform Unified customer profile across all channels with contextual recommendations and Next Best Action. In production RetailML ROAS +25% cross-channel uplift Marketing AI · media-mix optimization Marketing budget optimization with attribution modeling; additional traffic +5–10%. In production RetailML +3–4% margin uplift Intelligent pricing & promo Dynamic price segments and promo budget optimization; payback in 4–6 months. In production RetailML +3–5% sales · 6–9 mo payback Assortment optimization ML Store clustering, category-specific matrices and an assortment simulator. In production RetailML −2–3% write-offs of turnover Inventory optimization platform Multi-factor demand forecasting (120+ factors) with auto-replenishment; payback 9–12 months. In production EdTechML 90%+ speech-issue detection AI speech screening for children An ML classifier flags children speech clips needing a therapist. Deployed for 12 000+ students. In production Real EstateML 85+ facilities under data-driven pricing Dynamic pricing for self-storage ML revenue management with competitor monitoring and optimal $/ft² rates at unit-type level. In production Search, RAG & Documents4 cases EnergyAI Search & RAG ×5 speedup on evaluation pipeline LNG contract Q&A A Q&A bot over LNG contracts inside MS Teams, used by traders during live deals. In productionNDA RetailAI Search & RAG 1 query cross-category retrieval from natural language Situational LLM search for e-commerce Search that understands situational queries and pulls products across categories into one result set. In production RetailAI Search & RAG 12M+ reviews processed annually NPS analyzer on reviews NPS and CSI signal from review corpora at scale; analyst time cut, accuracy improved versus a CSI baseline. In production BankingDocument AI 90% automation on doc class AiDoc in a bank back-office AiDoc turns unstructured PDFs into structured, queryable data. On-premise deployment. Pilot deliveredNDA Data Platforms & Strategy4 cases EnergyMLOps Cloud cost programme · 8-week sprint Cloud cost optimization programme AI-driven audit of cloud workloads with right-sizing and re-engineering across the organization. In productionNDA RetailStrategy +20–30% revenue of reformatted stores Underperforming store transformation Diagnostic and reformatting AI for underperforming stores; UK benchmark +1.7% chain profitability. In production RetailStrategy 9 modules in a closed loop Integrated retail analytics ecosystem Nine analytics modules in a closed feedback loop: each module feeds the others. In production RetailData Platforms 112% 5-year ROI (IDC benchmark) DWH Lakehouse migration Medallion lakehouse (Bronze → Silver → Gold): Greenplum, Iceberg, Trino, OpenMetadata, Grafana. In production No cases match this combination. Try a broader filter. Cases marked NDA are shown without the client name. Ask us for detailed references in your industry. Let's talk ## Let's build your next AI breakthrough Tell us the metric you want to move. We'll propose the right mix of AI agents, ML and data platforms, and a realistic delivery plan Contact salesExplore solutions →