Pricing

Anticipate trends with automated predictive analysis

Swiftask partners with Polymer.co to turn your complex data into clear predictions. Automate your dashboards and stay ahead.

Result:

Move from descriptive to predictive analysis. Make decisions based on reliable models, with zero manual effort.

Data complexity holds back your strategy

Most companies accumulate massive volumes of data without being able to turn it into actionable steps. Manual analysis is slow, error-prone, and incapable of detecting emerging trends in real time.

Main negative impacts:

Limited reactivity: Analyzing the past is no longer enough. Without predictive capabilities, you react to problems instead of anticipating them.
Analytical bottleneck: Reliance on data teams to generate reports slows down strategic decision-making.
Data inconsistency: Disparate tools create silos, preventing a global and accurate view for your forecasts.

Swiftask automates data retrieval and processing from Polymer.co. Your AI agent handles the information, generates predictive models, and alerts you to future opportunities or risks.

BEFORE / AFTER

What changes with Swiftask

Traditional approach

Manual CSV exports from your tools, tedious cleaning, importing into BI software, then manual analysis. The result is obsolete before it's even presented.

Swiftask + Polymer.co

Your data flows in real time. Swiftask automatically queries Polymer.co, processes trends, and sends predictive reports directly to your collaboration tools.

Setting up your predictive engine

STEP 1 : Synchronize your sources

Connect your databases to Polymer.co to structure your information.

STEP 2 : Configure your Swiftask agent

Define your AI agent's parameters to query your Polymer datasets.

STEP 3 : Set alert thresholds

Configure automatic triggers based on the predictive results obtained.

STEP 4 : Distribute insights

Receive your forecast reports automatically in your preferred channels.

Advanced analysis capabilities

The agent analyzes seasonality, hidden correlations, and anomalies within your Polymer datasets.

Target connector: The agent performs the right actions in polymer.co based on event context.
Automated actions: Automatic report generation, trend detection, threshold alert notifications, predictive data visualization.
Native governance: All analyses are saved to ensure traceability and monitoring of your model accuracy.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-polymer.co@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.

Major competitive advantages

1. Data-driven decisions

Reduce uncertainty with AI-generated forecasts.

2. Operational time saving

Eliminate manual data preparation tasks.

3. Organizational agility

Adapt your strategy in real time based on predictions.

4. BI democratization

Make complex insights accessible to all your team members.

5. Increased reliability

Reduce human errors linked to manual data manipulation.

Security and privacy

Swiftask applies enterprise-grade security standards for your polymer.co automations.

End-to-end encryption: Your data is protected during transfers between Polymer and Swiftask.
Strict compliance: Adherence to GDPR standards for processing your sensitive data.
Granular control: You manage who accesses the results of predictive analyses.
Total transparency: Full history of queries and generated analyses.

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

RESULTS

Impact on your performance

Metric	Before	After
Analysis time	Days	Minutes
Forecast accuracy	Based on intuition	Based on AI
Processing costs	High	Optimized
Internal adoption	Low	High

Take action with polymer.co

Move from descriptive to predictive analysis. Make decisions based on reliable models, with zero manual effort.

Query your Polymer.co databases with natural language AI

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