Demand Forecasting for Wet Market

Strengthening the Foundation
Outcomes and Benefits
  • Support procurement planning, production, inventory management, and product distribution to align with demand.
  • Reduce the occurrence of excess inventory and the loss of perishable products.
  • Reduce discrepancies from planning that relies on individual experience.
  • Increase speed in monitoring sales situations and market changes.
  • Support collaboration between sales, production, procurement, and logistics departments.
  • Help supply chain management have more systematic data-driven decision-making.
Problems or Challenges the Project Aims to Solve
  • Ordering processes in wet markets that use telephone calls and manual data entry, leading to errors and high time consumption.
  • Sales and inventory planning that relies on the experience of individual sales staff.
  • Lack of data for forecasting demand in advance, resulting in product quantities being more or less than actual demand.
  • Coordination between sales, procurement, production, and transportation that is not linked throughout the supply chain.
  • Delays in tracking customer behavior and responding to market changes.
System Capabilities
  • Forecast future product demand using sales data and relevant factors.
  • •Analyze trends from historical data, prices, seasonality, holidays, and market factors.
  • Display comparison data between forecast figures and actual sales.
  • Support order tracking through digital systems.
  • Notify when customer ordering patterns change significantly.
  • Support customer segmentation and marketing activity planning by area.
  • Provide data for planning raw material procurement, production, and product.
Responsible Use Guidelines
  • Forecast results are used as supportive data for planning; the responsible person remains the final decision-maker.
  • Data used must be verified for quality, completeness, and timeliness.
  • Model accuracy should be monitored and updated when market behavior changes.
  • Notifications to customers or sales staff must not cause discrimination or use data beyond the stated purpose.
  • Data access rights and security measures should be established appropriately.