2833 - Optimizing order fulfillment using AI and ML.pdf

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1、Optimizing order fulfillment using AI and MLSudhir Balebail-IBMProduct Management Lhttps:/ Roy World MarketTechnology LeaderA https:/ The Order Fulfillment Challenge Why AI and ML?Sterling Intelligent Promising Optimizer The Future of Fulfillment with AI Conclusion:Start Optimizing TodayThe Order Fu

2、lfillment Challenge3IBM Sterling Intelligent PromisingThe Order Fulfillment Challenge1Increasing customer expectations for fast,accurate delivery.2Managing multiple channels,complex inventory,and demand fluctuations.3Rising operational costs and inefficiencies in the supply chain.4The need for real-

3、time decision-making to maintain competitiveness.4IBM Sterling Intelligent PromisingWhy AI/ML?5IBM Sterling Intelligent PromisingWhy AI/ML?1AI and Machine Learning(ML)automate decision-making and improve accuracy.2They enable real-time insights from data,allowing proactive responses.3AI-powered syst

4、ems can forecast demand,optimize sourcing location,and dynamically allocate inventory.4Machine learning continuously learns and improves fulfillment strategies based on historical data.6IBM Sterling Intelligent PromisingPredictivePrescriptivePredict end of season inventory and reduce wastageDecision

5、 Optimization for profitable outcomesTransparent Feedback Loop for user influenced learningPut AI to workWhat will happen?What should we do?How can we make it better?IBM Sterling Intelligent PromisingSterling Intelligent Promising Optimizer Function8IBM Sterling Intelligent PromisingSterling Intelli

6、gent Promising OptimizerOPTIMIZED ORDER SOURCINGWhat can fulfillment optimizer offer to businesses?Analyzes and simulates orders and business scenarios to identify the best sourcing decisions to balance and improve capacity.Key benefitsContinuously improve cost to serve Optimize inventory capacityEx