Demand Forecasting for Wet Markets

Strengthening the Foundation
Outcomes and Benefits
  • Support procurement planning, production, inventory management, and product distribution to align with demand.
  • Reduce excess inventory and losses of perishable products.
  • Reduce planning discrepancies resulting from reliance on individual experience.
  • Enable faster monitoring of sales situations and market changes.
  • Support collaboration among sales, production, procurement, and logistics departments.
  • Enable more systematic, data-driven decision making in supply chain management.
Problems or Challenges the Project Aims to Solve
  • Ordering processes in wet markets that rely on telephone calls and manual data entry, leading to errors and time-consuming operations.
  • 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 that exceed or fall short of actual demand.
  • Lack of integrated coordination between sales, procurement, production, and transportation across 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 based on historical data, prices, seasonality, holidays, and market factors.
  • Display comparisons between forecast figures and actual sales.
  • Support order tracking through digital systems.
  • Provide notifications 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 distribution.
Responsible Use Guidelines
  • Forecast results should be used as supporting information for planning, while designated personnel retain final decision-making authority.
  • Data used must be verified for quality, completeness, and timeliness.
  • Model accuracy should be monitored, and the model should be updated when market behavior changes.
  • Notifications to customers or sales staff must not result in discrimination or involve the use of data beyond the stated purpose.
  • Appropriate data access controls and security measures should be established.