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FMCG
Keep up with the rapid-changing demands and drive greater profits and growth for FMCG with advanced business intelligence

Inventory Forecasting
Predict optimal storage and inventory to increase logistic efficiency and optimize capital utilization, reducing cost for perishable inventory
Problem Statement
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Difficulty in keeping optimal stock levels in inventories throughout the supply chain
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High costs in overstocking inventory and associated risk of expired stocks
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Risk of disruption to business operations due to out of stock inventory
Our Solutions
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Establish a standard input and output format with real users to transform the document into a machine-readable format
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Develop an optimization AI algorithm tailored to the warehouse constraints
Business Values
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Predict optimal storage and inventory for operation-heavy businesses to increase logistics efficiency and to optimize utilization of capital
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Reduce cost for perishable inventory that requires accurate estimation of inventory

Product Optimization
Build automated optimization algorithms that support production scheduling tailored to site’s constraints
Problem Statement
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Every week, a planner needs to spend at least 4-6 hours to schedule a production plan
Due to its time-consuming nature, the production plan is not flexible enough to change during the week
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The production plan does not optimize production nor is it cost-effective
Our Solutions
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Establish a standard input and output format with real users to transform the document into a machine-readable format
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Develop an optimization AI algorithm tailored to the warehouse constraints
Business Values
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Reduce production planning time from hours to 10-15 minutes
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The faster planning process allows rescheduling during the week
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​The production plan from our AI algorithm is more efficient compared to a human’s plan

Demand Forecasting
Estimate future demand to help make decisions for activities such as cash flow planning, supply chain management, and pricing and promotion strategy
Problem Statement
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FMCG wholesale demand is mostly driven by promotions in Thailand
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Predicting demand is a time consuming process by planners. It requires prior qualitative insights from experience to accurately forecast demand
Our Solutions
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Benchmark with demand planners to automate the process and provide improved accuracy
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The demand forecasting is done for multiple product categories and multiple sales channels with varying characteristics
Business Values
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Accuracy Improvement: Machine learning helps improve accuracy up to 15-20%
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Processing Time Optimization: The ML-driven solutions help reduce processing time in demand planning
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Single source of truth: The demand forecasting plan help the working group to lead to consensus easily
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