Retail success depends on plans that connect across functions. Intelligent financial planning replaces sequential handoffs with unified decisioning. Pre-season budgets inform assortment choices. Pricing strategies protect margin targets. Open-to-Buy decisions align with inventory flow. Built on interoperable solutions and agentic intelligence, retailers forecast with precision, model scenarios in real time, and synchronize finance and merchandising on a single platform. Decisions optimize for business outcomes, not functional silos.
ICON reunirá a las mentes más brillantes de la cadena de suministro de los sectores minorista, manufactura y logístico del 17 al 20 de mayo de 2026 en San Diego, CA.
Acelere las decisiones informadas con IA diseñadas para la cadena de suministro
Basadas en décadas de innovación en la cadena de suministro y experiencia en IA, nuestras soluciones de IA predictiva, generativa y agéntica transforman los datos sin procesar en predicciones y orientación que ayudan a sus equipos a manejar esta complejidad.
Desmitificando la IA para los líderes de la cadena de suministro
Los beneficios de la inteligencia artificial para los líderes de la cadena de suministro son evidentes, pero la implementación no siempre es tan directa. Descubra por qué (y cómo) su empresa debería priorizar las soluciones de IA ahora.
Reorganización para la IA: cómo deben adaptarse los líderes de la cadena de suministro
El 90 % de los líderes de la cadena de suministro están llevando a cabo actualmente una reorganización o lo harán en los próximos 12 meses. Muchos de ellos están preparando a sus equipos para la tecnología de cadena de suministro impulsada por IA, pero ¿cómo deberían adaptarse y reorganizarse para un futuro que priorice la IA?
DHL ahorra un 7 % en costos de transporte mediante una mejor optimización de vehículos y paradas con el Diseño de red de Blue Yonder
Carlsberg Group
Carlsberg comparte cómo la empresa está adoptando un enfoque digital, primero utilizando la gestión de transporte de Blue Yonder, la estrategia “Zero & Beyond” de la empresa y más.
Walgreens
La administración de pedidos basada en inteligencia artificial de Blue Yonder proporciona la “magia” detrás de la promesa de entrega en 30 minutos de Walgreens.
Cómo la planeación habilitada por IA mejorará el rendimiento de su cadena de suministro
La volatilidad extrema, la escasez de inventario y la sobrecarga de datos son desafíos a los que se enfrentan las empresas cuando se trata de la planificación de la cadena de suministro. Las capacidades de planificación habilitadas por IA pueden abordar estos desafíos al mejorar la toma de decisiones, la agilidad y la colaboración en todas las funciones de la cadena de suministro.
2025 Supply Chain Compass: Cómo los líderes de la cadena de suministro navegan por la complejidad
En esta encuesta de casi 700 empresas, preguntamos a los líderes de la cadena de suministro sobre sus ambiciones, temores, objetivos y estrategias. Descubra la dirección general de la industria, la situación actual de la gestión de la cadena de suministro, por qué el optimismo sigue siendo fuerte y qué acciones clave se están priorizando para alcanzar objetivos estratégicos como desarrollar resiliencia, implementar nuevas tecnologías y ser más sostenible.
Más allá de los Silos: Evolucionando hacia una Cadena de Suministro Empresarial
Incisiv explora la importante transformación que se está produciendo en las cadenas de suministro modernas, detallando el cambio de los procesos fragmentados y las soluciones especializadas hacia plataformas más ágiles y flujos de trabajo colaborativos. Esta evolución aborda problemas sistémicos como la inflexibilidad y la comunicación desconectada, mejorando la capacidad de respuesta, la sostenibilidad y la rentabilidad de la cadena de suministro.
ICON reunirá a las mentes más brillantes de la cadena de suministro de los sectores minorista, manufactura y logístico del 17 al 20 de mayo de 2026 en San Diego, CA.
AI analyzes 100+ demand signals (market trends, shopper behavior, weather patterns, competitive pricing) to deliver continuously refined forecasts. Models adapt as conditions change, giving retailers the insight needed to set realistic preseason budgets, adjust in-season plans, and allocate inventory intelligently across channels and categories.
Agentic intelligence
AI agents identify variances before they impact performance by flagging categories trending off-plan, margin pressures emerging or inventory imbalances developing. The system surfaces top and bottom performers with contextual insights, freeing planning teams to focus on strategic responses rather than hunting through data for problems. Agents handle the analysis, planners make the calls.
Scenario agility
Lever-based scenario planning lets retailers model what-if strategies rapidly. Adjust sales assumptions, pricing, promotions, or inventory levels to see the impact on margin and cash flow before committing capital. Compare scenarios side-by-side. Stress-test preseason budgets. Evaluate markdown timing and promotional effectiveness. Make confident decisions with full visibility into profitability impact.
Unified planning
Financial plans interoperate with downstream merchandising systems. Sales targets, inventory budgets, Open-to-Buy, and margin goals flow to assortment, allocation, and replenishment teams in real time. Finance and merchandising work from synchronized data on a unified platform, eliminating manual reconciliation. Functions optimize for business outcomes, not in isolation.
Soluciones
Solutions for successful retail financial planning
Turn financial targets into buying decisions
Translate revenue and margin targets into actionable merchandise plans with real-time Open-to-Buy tracking and scenario modeling. MFP connects financial planning with inventory decisions, eliminating reconciliation lag between finance expectations and merchandising execution through unified decisioning across teams.
Deliver the right value to customers while protecting margins
Support your financial plans with optimized price and promotions. Leverage AI, machine learning (ML), and advanced analytics to create data-driven price plans that continuously balance inventory and demand to increase sell-through, reduce waste and protect margins.
Intelligence that guides every decision
AI analyzes demand signals, detects performance variances and recommends actions across the planning cycle. ML continuously refines forecasts, identifies margin risks, suggests scenario adjustments, and surfaces exceptions requiring attention. Teams get intelligence that supports better decisions, not just more data to analyze.
Financial planning solutions run on a unified data cloud that connects planning, execution and operational systems without custom integrations. Embedded AI and a shared data model provide real-time synchronization across merchandise planning, pricing strategies and supply chain decisions through interoperable workflows.
Advisory and implementation services accelerate financial planning and pricing transformation, from initial configuration through ongoing optimization. Retail experts guide teams through process redesign, change management, and continuous performance improvement to maximize ROI and drive adoption across finance, merchandising, and pricing teams.
Cogntive financial planning automates the analysis of financial targets, demand forecasts, and Open-to-Buy budgets across categories and channels. Work that takes weeks in spreadsheets. AI continuously monitors performance against plan, surfaces variances before they impact results and recommends adjustments based on real-time data. Teams spend less time reconciling versions and hunting for errors, more time making strategic decisions about where to invest capital and how to protect margins.
Modern financial planning solutions should offer AI-driven forecasting that analyzes multiple demand signals, scenario modeling that shows financial impacts before you commit capital and exception management that alerts teams to variances early. Look for interoperable workflows that connect financial plans with assortment, allocation and pricing decisions—eliminating manual data transfers between systems. The platform should provide unified decisioning across finance and merchandising, not just financial reporting in isolation.
Financial planning supports mid-season adjustments without rebuilding entire plans. When market conditions shift or performance trends off-target, teams can model new scenarios, evaluate margin impacts, and adjust Open-to-Buy allocations in real time. AI continuously refines forecasts based on actual sales, flagging categories that need attention and recommending reallocation strategies. This transforms financial planning from a periodic exercise into an ongoing capability that responds to business reality.
Because they are built on a unified platform that shares data foundations with assortment planning, and allocation and replenishment. Financial targets flow directly to downstream systems. When you update revenue goals or adjust Open-to-Buy budgets, assortment planners see changes immediately. This interoperability eliminates reconciliation gaps between what finance expects and what merchandising executes, ensuring teams work from synchronized data and optimize for business outcomes, not functional silos.
Most retailers see results within the first planning cycle. Common early wins include 20%-50% improved forecast accuracy, reduced planning cycle time from weeks to days and lower labor costs through automated exception management. Retailers report better inventory control that reduces markdowns, improved margin performance through scenario planning, and stronger alignment between finance and merchandising teams that eliminates reconciliation delays and accelerates decision-making.
