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Schaman Smart Analytics: AI that transforms data into high-impact decisions

In an environment where customer service operations generate millions of interactions every day, teams face a common challenge: knowing what to optimize, when, and why. The difference between leaders and laggards is no longer the amount of available data, but the ability to turn that data into decisions that improve resolution, anticipate issues, and elevate the customer experience.

With this purpose, Schaman Smart Analytics is born, the layer of Analytical AI that turns every interaction into actionable knowledge to improve operations in real time.

1. The intelligence that turns interactions into knowledge

Before being able to anticipate trends or uncover hidden issues, it is essential to understand what is happening in each interaction and its real impact on operations. Most teams have data, but not clarity: they see metrics, but not causes; they see symptoms, but not the root. Schaman’s Smart Analytics solves this gap by transforming every decision, diagnosis, and agent action into precise, actionable information. Instead of static reports, it offers a living view of operational performance that enables teams to act with intention, not intuition.

With this, the platform creates a complete, granular, and dynamic view of operational performance.

Among its key capabilities are deep and actionable operational insights:

  • Identification of high follow-up recalls and recurrences.
  • Alerts on emerging problems not yet documented.
  • Recommendations to improve processes, content, and resolution paths.

Smart Analytics not only displays data: it clearly indicates where to act first.

2. Patterns, trends, and hidden problems

In support operations, the most costly problems are not the visible ones, but the ones no one knows exist. These are the silent frictions that do not appear in standard dashboards, are not explicitly reported by agents, and only become evident when the customer calls a second, third, or fourth time.

Most organizations fail to detect them because they rely on aggregated reports, manual analysis, or late reviews. But Schaman’s Analytical AI observes something very different: the behaviors within each interaction, the complete diagnosis and resolution paths, and the traces left by problems when they repeat across thousands of cases.

By continuously and granularly analyzing these patterns, the platform reveals dynamics that go completely unnoticed by operational teams.

  1. Post-activation incident trends
  2. Types of inquiries with high non-resolution rates
  3. Issues that are beginning to grow
  4. Knowledge articles that no longer work
  5. Content elements failing to resolve
  6. Services that execute but do not resolve
  7. Process steps that increase the risk of churn

The sum of these signals is the difference between reacting late or anticipating what’s coming. This enables teams to anticipate peaks, fix bottlenecks, and elevate overall operational effectiveness without waiting for monthly reports or manual analyses.

3. Making decisions based on real resolution capacity

Detecting patterns is only the first step; what is truly transformative is knowing what to do with them. Most operations make decisions based on perceptions, contact volume, or day-to-day urgencies. But when you understand how well you are resolving (and why), you can prioritize with precision and focus efforts where they truly generate impact.

This is where Schaman changes the rules. It turns resolution capacity into the central metric that guides every operational decision. The Smart Analytics approach is clear: decisions must be anchored in resolution capacity, not intuition.

That’s why its metric structure follows a top-down approach:

  • Global resolution effectiveness
  • Recurring problems and low-quality diagnostics
  • Performance by problem type, channel, or virtual agent
  • Full details at the individual interaction level

This enables teams to prioritize improvements with surgical precision.

4. Knowledge management: knowing what’s missing and what’s not working

If insights and patterns reveal what is happening in operations, knowledge management answers another key question: Do we have the right tools to solve it? In many organizations, knowledge does not evolve at the same pace as real problems, and that gap becomes a constant source of recurrences and failed experiences.

Schaman’s Smart Analytics closes this gap by assessing in real time the effectiveness of resolution content, identifying which articles work, which do not, and where critical gaps exist. In addition, it does not limit itself to static content, but also analyzes TRB resolutions and other resolution actions, enabling teams to understand what truly helps solve cases.

In this way, knowledge stops being static and becomes a dynamic pillar that supports and enhances real resolution capacity. A Knowledge Base only has value if it resolves.

Smart Analytics enables teams to:

  • Identify obsolete, incomplete, or ineffective content or resolutions
  • Highlight specific gaps in articles and procedures
  • Recommend what to update and what to create
  • Continuously track the effectiveness of each element

The result: a living knowledge base, always up-to-date and aligned with real customer problems.

Want to see Smart Analytics in action? Request a demo with our experts and discover how to turn your data into decisions that improve the customer experience. Request your demo here

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