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
Audience / Personas: C-level, Sales Ops, Account Managers
Data Stack: CRM/ERP (Priority)
Scope: Pipeline, products, customers, sales agents, forecast, etc.
Challenge
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.
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 Needle
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.

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