Pravin Masalewale (Suhana)

Case study


Industry
Food and Beverage Manufacturing

Products and Services
Spiced Mixes,Blends,Instant Mixes,Cuppas

Employees
1000+


How Can Real-Time Information Help bringing effective transformation with SAP S/4HANA

Suhana Tastemakers of India, the largest procurer, processor and marketer of spices in Maharashtra, offers over 50 ground spices and spice blends. Today, Suhana products are exported to 21 countries across 5 continents. Company launched ready-tocook spices, for which it was pioneer in India.


Before: Challenges and Opportunities 

  • Empower users and delegate tasks across processes with ease
  • Remove time-consuming manual processes
  • Modernize plant operations to centralize processes and make them faster, more efficient and Improve customer service by making quicker decisions and anticipating future demand more precisely.
  • Improve customer service by making quicker decisions and anticipating future demand more precisely

Why SAP and SAVIC Technologies?

  • Prescriptive solution that enhances and standardizes business processes Resolution
  • Role- and authorization-based real-time data to accelerate decision making and the overall planning process
  • Automated processes with quick and ready access using SAP Fiori
  • Self-service reporting tools enabling agile visualizations and data exploration.

After: Value-Driven Results

  • Reduced need for manual intervention with high automation of processes, leading to reduced potential of human errors.
  • Real-time financial reporting with access to transaction data anytime, anywhere
  • Increased control and greater visibility company-wide, helping the company adapt quickly to market changes.
  • Improved performance of planning, execution, reports & comprehensive analytics of live data
  • Improved operational efficiency across geographies

Real-time

Decision-making processes, due to the availability of immediate, accurate information


20%

Daily dispatch quantity increase


Streamlined

Business processes


Reduced

Data processing time, Risk.


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