Pricing

Anticipate your revenue with the predictive power of BigML

Swiftask links your sales data to BigML. Transform your historical sales into reliable and actionable forecasts, instantly.

Result:

Gain peace of mind regarding your growth targets with predictive models based on your own data.

The challenge of manual sales forecasting

Most companies rely on static spreadsheets to forecast sales. These methods are slow, prone to human error, and unable to incorporate the complexity of real market variables.

Main negative impacts:

Costly projection errors: Calculations based on simple historical averages overlook subtle trends, leading to mismatched stock or unrealistic goals.
Limited market reactivity: The time required to consolidate data and adjust forecasts manually prevents rapid adaptation to changing customer behavior.
Siloed data: Your CRM, marketing, and financial data remain isolated, depriving your predictive models of essential contextual information.

Swiftask automates the flow between your data sources and BigML. You deploy sophisticated machine learning models that learn continuously to refine your sales forecasts.

BEFORE / AFTER

What changes with Swiftask

The traditional approach

A sales team spends days on Excel at the end of each quarter. Forecasts are outdated as soon as they are published because they don't integrate real-time data.

Swiftask + BigML predictive intelligence

Your data is automatically sent to BigML via Swiftask. The model generates continuously updated predictions, accessible in one click for informed decision-making.

Deploying your predictive engine in 4 phases

STEP 1 : Centralize your history

Connect your data sources (CRM, ERP) to Swiftask to create a continuous stream of sales information.

STEP 2 : Configure the BigML connector

Activate the BigML connector in Swiftask. Select the analysis type (regression) suited to your revenue goals.

STEP 3 : Train your AI models

Let BigML process your data to identify key correlations. No coding expertise is required thanks to the intuitive interface.

STEP 4 : Automate predictions

Integrate predictive results into your daily reports and Swiftask workflows for immediate execution.

Advanced analysis capabilities

BigML analyzes thousands of contextual variables, from seasonality to specific buying behaviors, to model your future sales.

Target connector: The agent performs the right actions in bigml based on event context.
Automated actions: Generation of probability scores, identification of conversion factors, predictions by customer segment, automatic dashboard updates.
Native governance: Model accuracy increases with every new piece of data injected via your Swiftask workflow.

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.

Strategic benefits for leadership

1. Increased forecast accuracy

Reduce the gap between your goals and reality with machine learning-based models.

2. Operational time savings

Eliminate manual data entry and complex calculations. Focus your teams on strategy instead of data.

3. Better resource allocation

Anticipate demand spikes and optimize your inventory or sales force distribution.

4. Decision-making agility

Adapt your sales strategies in real time with predictive indicators updated automatically.

5. Democratization of data science

Give your business teams access to powerful predictive tools without needing a dedicated Data Science team.

Data reliability and governance

Swiftask applies enterprise-grade security standards for your bigml automations.

Data privacy: Swiftask ensures secure transfer to BigML, respecting the strictest GDPR standards.
Granular control: You maintain control over the data sent and the models generated within your workspace.
Model transparency: Understand why the model predicts a certain result with BigML's integrated explainability tools.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your sales performance

Metric	Before	After
Forecast accuracy	60-70% (manual estimation)	90%+ (BigML AI)
Preparation time	3-5 days per month	Real-time (automated)
Analysis cost	High (consultants/time)	Reduced (no-code SaaS)

Take action with bigml

Gain peace of mind regarding your growth targets with predictive models based on your own data.

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