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Insights from Sales to Suppliers
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Chemicals
Applicable Functions
- Sales & Marketing
Use Cases
- Predictive Quality Analytics
- Supply Chain Visibility
Services
- Data Science Services
The Challenge
Lintech International, a chemical distribution company, was struggling with managing the distribution and sales expertise of more than 2,000 chemical products from over 20 suppliers. This was negatively impacting their productivity and performance. The process of preparing reports from their ERP and CRM systems was time-consuming, taking up to 8 business days per quarter. This delay in data processing and reporting was hindering their ability to make timely and informed decisions, leading to inefficiencies and potential loss of business opportunities.
About The Customer
Lintech International is a company that specializes in the distribution of chemical products. They manage a vast portfolio of over 2,000 chemical products sourced from more than 20 suppliers. The company operates in the United States and is involved in various functions, primarily sales. Lintech International is committed to leveraging technology to improve its processes and enhance its business performance. However, the company was facing challenges in managing its extensive product and supplier data, which was affecting its productivity and performance.
The Solution
To address these challenges, Lintech International implemented Qlik Sense and NPrinting for Supplier Management and Sales, as well as Customer Service. These solutions allowed the company to combine data from their ERP and CRM systems and access it in a centralized view. This streamlined the data management process and made it easier for the company to analyze and interpret their data. Furthermore, reports were automatically generated and sent to specified users at each supplier on a monthly basis. This not only saved time but also ensured that all relevant parties were kept up-to-date with the latest data.
Operational Impact
Quantitative Benefit
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