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Polyram Case Study

Meet the Customer

Polyram is a global manufacturer of high-performance thermoplastic compounds, serving industries like automotive, packaging and industrial applications. The company operates multiple production sites across several continents with worldwide distribution and subsidiaries, with HQ and R&D in Israel.

Keynotes

  • Domain: Sales

  • Go-Live: Days

  • Time to Answer: Seconds

  • Users: C-level, Sales Ops, Account Managers, Finance

  • Data Stack: CRM/ERP (Priority)

  • Scope: Pipeline, products, customers, sales agents, forecast.

Challenges

  • The existing reporting setup was dated and cumbersome and no longer cut it for sales decisions.

  • Teams needed answers now, not in days or weeks.

  • New sales domains and datasets had to integrate easily and fast.

  • The organization wanted to move to AI for natural-language analysis and forecasting.

  • Users needed to answer complex, cross-system questions immediately (multi-metric drill-downs).

Tango Solution

Tango delivered its app, integrated with Polyram’s existing sales DB, and gave the team a natural-language interface—so anyone can ask in any language and get insights in seconds as narrative, tables, or charts. Every result is explainable and source-backed to Priority objects and raw data. Sensitive data (e.g., customers, revenues) is never sent to LLM providers, and role-based access ensures the right views per user. Sales Ops and leadership can create dashboards and schedule reports with one click.

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Polyram (examples) Questions

  • Show EP customers with no Polyram purchases before 2024

  • Analyze 2025 sales increase by product, customer, and plant

  • Which customers are at risk of churn, and why?

  • Show MTD by product family with an end-of-year forecast

How Tango Moved the Niddle

We went live in days - no heavy BI project - and now we get answers in seconds. Because everyone can do it, we make faster in-room decisions, boost self-serve across sales and ops (and cut BI tickets), and run a shorter forecast cycle with higher forecast confidence.

© Tango AI 2025

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