Optimize prices dynamically with BigML's predictive power
Swiftask links your BigML models to your sales systems. Adjust prices in real-time based on AI predictions to maximize profitability.
Result:
Boost competitiveness without manual work. Turn data into profitable pricing decisions instantly.
AI Agents
bigml
Connector bigml · Secure OAuth 2.0
Static pricing limits your business growth
Most companies adjust prices manually or using rigid rules. In the face of market volatility and competition, this approach is obsolete. You are losing valuable margins or market share due to a lack of agility.
Main negative impacts:
Operational margin loss
Underpricing high-demand products artificially reduces your potential profits.
Market misalignment
Slow reaction to competitor price changes leads to an immediate loss of competitiveness.
Management complexity
Manually adjusting thousands of SKUs is humanly impossible and prone to errors.
Swiftask automates the interface between your BigML predictive models and your sales tools. The AI calculates the optimal price continuously, and Swiftask applies it wherever it needs to be.
BEFORE / AFTER
What changes with Swiftask
Manual pricing
Your teams analyze past sales once a month, change prices in an Excel file, then manually update them in the catalog. The market has already moved on.
Predictive approach with Swiftask + BigML
BigML analyzes trends in real-time. Swiftask retrieves these scores and automatically updates your prices in your ERP or e-commerce platform. You are always at the right price point.
Set up your pricing strategy in 4 steps
1
STEP 1 : Train your BigML model
Use your historical data on BigML to create a regression model capable of predicting the optimal price based on various parameters.
2
STEP 2 : Connect BigML to Swiftask
Configure the BigML connector in Swiftask. Your models are now accessible as decision bricks in your workflow.
3
STEP 3 : Define your business rules
Configure min/max price thresholds and trigger conditions in Swiftask to ensure total safety.
4
STEP 4 : Activate automation
Swiftask queries BigML for every key event and updates your prices in real-time across your sales tools.
Intelligent optimization capabilities
Your BigML model integrates seasonality, competitor prices, inventory levels, and customer history to generate the ideal price.
- Target connector: The agent performs the right actions in bigml based on event context.
- Automated actions: Automated sales price calculation, real-time discount adjustments, profit threshold alerts, multi-channel synchronization.
- Native governance: All pricing decisions are logged by Swiftask for complete audit and performance analysis.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-bigml@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Why choose this technological duo?
Maximized margins
Adjust your prices closer to the customer's willingness to pay.
Total agility
React to market shifts in seconds, not days.
Elimination of errors
Automation ensures pricing rules are applied without human intervention.
No-code scalability
Manage 10 or 10,000 SKUs with the same configuration simplicity.
Seamless integration
Connect BigML to your existing stack without architectural overhauls.
Data security and governance
Swiftask applies enterprise-grade security standards for your bigml automations.
- Encrypted exchanges: Data moving between BigML and Swiftask is secured by SSL/TLS protocols.
- Threshold control: Swiftask applies guardrails to prevent extreme pricing anomalies.
- Auditability: Every price change is tracked with the associated prediction score.
- Access management: Control exactly who can modify your pricing strategy parameters.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your profitability
| Metric | Before | After |
|---|---|---|
| Adjustment speed | Weekly/Monthly | Real-time |
| Pricing accuracy | Intuition-based | AI-data driven |
| Human time | Hours per week | 0 (supervision only) |
| Market reactivity | Slow and static | Instantaneous |
Take action with bigml
Boost competitiveness without manual work. Turn data into profitable pricing decisions instantly.