Automated pricing updates based on market data

Purpose

1.1. Dynamically update fish product prices in real-time based on external and internal market data feeds.
1.2. Synchronize pricing across sales channels, invoice systems, and supplier portals to ensure margin optimization.
1.3. Reduce manual pricing errors, monitor market volatility, and automatically adapt to competitor or commodity price shifts.
1.4. Support financial forecasting by logging price adjustments with market and inventory context for reporting and audit.
1.5. Prevent stock undervaluation or overpricing using algorithms tied to feedstock cost, supply fluctuation, and demand indicators.

Trigger Conditions

2.1. Detection of market price changes from subscribed APIs or news feeds.
2.2. Inventory reaching predefined thresholds or seasonal demand patterns detected.
2.3. Internal cost structure adjustments—feed, energy, or labor changes entered into ERP/CRM.
2.4. Competitive price updates from web scraping or price intelligence APIs.
2.5. Manual override requests by financial controllers with multi-step authentication.

Platform Variants

3.1. AWS Lambda
• Feature/Setting: Schedule automated price updates using cron triggers and market data API integration (e.g., AWS API Gateway).
3.2. Google Cloud Functions
• Feature/Setting: HTTP-triggered pricing function consuming RESTful fish market feeds (e.g., FISHEX REST API).
3.3. Microsoft Power Automate
• Feature/Setting: Flow connecting market data Excel/SharePoint updates to ERP pricing fields.
3.4. Zapier
• Feature/Setting: Automate between webhook data sources and e-commerce pricing endpoints.
3.5. Integromat (Make)
• Feature/Setting: Webhooks and HTTP modules to aggregate and push price changes to Shopify or WooCommerce.
3.6. Salesforce Flow
• Feature/Setting: Scheduled flows with external data connectors updating Opportunity or Product Pricebook.
3.7. Odoo ERP
• Feature/Setting: Scheduled server actions tied to market API parsing modules.
3.8. SAP Business Technology Platform
• Feature/Setting: API Management layer triggers SAP S/4HANA price record updates.
3.9. Oracle Integration Cloud
• Feature/Setting: REST Adapter synchronizes pricing from external feeds to product catalogs.
3.10. Plaid
• Feature/Setting: Financial account data feeds adjust price models via webhook event.
3.11. Google Sheets API
• Feature/Setting: Retrieve dynamic datasets, recalculate price columns, POST updated prices to databases.
3.12. Shopify Admin API
• Feature/Setting: Price update endpoints (PUT /admin/api/price) for automated e-commerce sync.
3.13. WooCommerce REST API
• Feature/Setting: PUT /wp-json/wc/v3/products to adjust fish product SKUs.
3.14. QuickBooks Online API
• Feature/Setting: Automated item price modifications in Products/Services catalogue.
3.15. FreshBooks API
• Feature/Setting: PUT to /products to sync supplier price changes instantly.
3.16. Fish Pool API (Commodity Markets)
• Feature/Setting: Market reference price endpoint triggers workflow initiation.
3.17. Trading Economics API
• Feature/Setting: Monitor fish index/commodity endpoint, auto-trigger database update via webhook.
3.18. Twilio Programmable SMS
• Feature/Setting: Send real-time alerts for critical price shifts to finance leads.
3.19. SendGrid
• Feature/Setting: Transactional email config for batch price update notifications to stakeholders.
3.20. Slack API
• Feature/Setting: Use Incoming Webhooks to push price change events to relevant channels.

Benefits

4.1. Escalates pricing agility, improving competitive response time.
4.2. Minimizes labor and overhead by eliminating manual re-pricing.
4.3. Reduces pricing errors and ensures global synchronization.
4.4. Enhances financial accuracy for forecasting and compliance.
4.5. Fosters data-driven pricing strategy adoption across the organization.