Second-Level Performance Requirements for Supply Planning
Demand forecasting and merchandise planning require repeated cross-department review and adjustment before decisions are finalized. Planning cycles that take too long slow down discussions and delay decisions — making sub-10-second response times a hard requirement.
Complex Workflows with High Consistency Demands
Plan adjustments span multiple levels (group, subsidiary, channel, store) and multiple time horizons (annual, quarterly, monthly, weekly), requiring frequent rollbacks, recalculations, and result synchronization. Without reliable transaction control and concurrency management, data inconsistencies directly undermine execution.
High Cost of Multi-Source Data Integration
Supply planning draws on market research, historical sales, inventory status, channel feedback, and sentiment data — scattered across different systems and components, requiring significant effort to integrate and standardize.
Existing Solutions Cannot Balance Performance and Reliability
Relational databases provide transaction guarantees but lack the performance needed for sub-10-second planning. In-memory compute solutions like Spark offer speed but lack transactional integrity — leaving enterprises caught between the two.
DolphinDB Solution
Rich Plugin Ecosystem
External table connectors for existing databases and a broad plugin library for data buses, message queues, and external services significantly reduce system integration overhead.
High-Performance Compute
- Columnar storage and vectorized computation enable fast cleansing, aggregation, and feature extraction across TB to PB-scale datasets, shortening data preparation cycles.
- Built-in functions and machine learning modules address the full data engineering pipeline — from multi-source ingestion and ETL to feature engineering, model training, and forecasting.
Transactional Consistency
Transaction mechanisms and MVCC (multi-version concurrency control) support high-concurrency reads and writes across multiple users and planning levels — ensuring data remains consistent, traceable, and executable throughout the planning process.
Key Benefits
Lower Data Engineering and Integration Costs
A unified platform simplifies multi-source ingestion, ETL, and feature engineering — eliminating redundant development and system fragmentation. Reliable transaction mechanisms ensure data consistency, reducing plan rework and execution risk.
Faster Decisions and Greater Business Agility
Second-level merchandise planning and demand forecasting with dynamic adjustment across multiple channels and planning levels — significantly improving decision speed and execution agility in response to market shifts and demand changes.