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Prediko is a Shopify-certified AI inventory management and supply chain planning platform for D2C eCommerce brands. It provides AI demand planning/forecasting, AI supply planning that generates a 12-month purchase order calendar, AI replenishment with a buying table and restocking recommendations, raw materials management, purchase order management with real-time sync, AI inventory transfers across locations, bundle inventory management, multi-store/warehouse management, and analytics with 20+ reports and custom dashboards. It also offers Pia, an AI inventory agent, plus 100+ integrations (WMS, Amazon, eCommerce platforms and Shopify apps), a public API and MCP. Intended users are D2C eCommerce/Shopify merchants and operations teams managing inventory across channels and locations. Trusted by 3000+ Shopify merchants with 250+ five-star reviews on the Shopify App Store.
Zeni is an AI-powered finance and accounting platform for startups. Its AI Accountant Agent automates bookkeeping and the month-end close: it codes transactions, applies journal-entry schedules, matches receipts, performs flux/variance analysis and bank reconciliation, and maintains a close task checklist, with human-in-the-loop review for low-confidence items and explainable AI for GAAP-level trust. The platform also provides AI-powered bill pay, reimbursements, expense management, and access to finance/CFO specialists, giving founders real-time insights into burn, runway, cash flow and financial health.
Focal Point is an AI-powered procurement orchestration platform (procurement operating system) that centralizes request intake, automates no-code workflows, and unifies procurement data across source-to-pay (S2P) and ERP systems. It is designed for procurement, sourcing, supplier-management, third-party-risk and vendor-management teams. The platform's producers span request intake management ('Intake to Anything'), procurement activity/project management, sourcing event management, supplier relationship management, third party risk management, and contract lifecycle management. AI automation reduces manual tasking (vendor claims ~30% of procurement time freed) with smart triage, conditional-logic automations and task delegation based on team capacity, supplier history or timeline demands. Evidenced use cases from customers (insurance, legal services, industrial) include reducing procurement cycle times, establishing a single source of truth for indirect procurement and providing stakeholders real-time request progress. Vendor reports $1.7B+ delivered savings.
Qwen (Tongyi Qianwen) is Alibaba's family of large language models and multimodal models, available in open-source and proprietary (API) forms. Accio is built on Alibaba's foundational technologies including the Qwen LLM, fine-tuned with real industry data for B2B sourcing.
Increff is a retail merchandising and omnichannel fulfillment platform that uses AI/self-learning algorithms for SKU- and store-level demand forecasting, open-to-buy (OTB) and merchandise financial planning, assortment planning, automated allocation and replenishment, inter-store transfers, and markdown optimization. It also provides warehouse management (WMS), order management (OMS) and store/omnichannel fulfillment (BOPIS/BORIS, endless aisle, self checkout). Intended users are merchandisers, planners, store managers and CXOs at fashion, footwear, jewellery and consumer goods brands across 35+ countries; purpose-built for retail/omnichannel networks rather than multi-tier manufacturing supply planning.
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L'IA qui vous en dit le plus sur son fonctionnement, dans chaque catégorie. Choisissez une catégorie pour voir le top 10 complet.
Conversational AI for customer or general-purpose use.
Tools that translate between human languages.
Apps that generate or edit visual content.
Tools that capture and summarize meetings.
Apps that automate or augment sales and customer-relationship workflows.
Apps that plan, book, reconcile, or monitor money — FP&A, accounting, payments and financial crime.
Mis à jour 10/23/2026, 7:38:23 PM
Un schéma mathématique entraîné sur des données pour reconnaître des motifs ou faire des prédictions. Considérez-le comme le "cerveau" qui apprend à partir d'exemples.
L'application ou l'interface qui met les modèles IA au travail pour vous. C'est ce que vous utilisez réellement au quotidien.