Know How AFRON Gained Business Visibility with Wise BI Solution

AFRON

AFRON is a private production company, which has positioned as the 4th largest volume center in the USA. AFRON works with orders from the customer both in terms of design and production, as well as product mass production and delivery. It serves profit and non-profit organizations of various sizes and types such as universities and small businesses.

Wise BI improved our business by targeting overall process optimization within the production life cycle. These optimizations assisted in the fine-tuning of the current pricing strategies along with the improvement of the manufacturing schedules thereby contributing to the betterment of our profits.

Texton
Production Manager


Challenges Faced
 

  • The organizational field of AFRON had no integrated database solution for handling data input and sales, production, order processing, and shipping.
  • They had a constrained view of the business as their in-house order system had a minimal reporting capability. End users could export data to spreadsheets, but this method of reporting failed to enable decision-makers to access information conveniently.
  • The system might have handled several functions but linking data to identify opportunities was difficult. AFRON required a powerful tool that would help to give an exact vision of profitability and manage contracts effectively.

Solution 

To increase its business visibility, AFRON sought out the CargoWise platform from Wise BI to consolidate all its information into one dashboard.

The AFRON was particularly fascinated with its interactivity and short time to value, thus adopting it after a 40-day trial.

Wise BI linked the needed data, and the initial dashboard was created in a week. Further, 8 associated user licenses allowed business users to communicate with the dashboard to gain more insights into the figures without the need for exporting data.

AFRON engaged Wise BI for real-time performance of sales, production, and customer order histories and rich data extractions on the go with options for drill-downs.

Results

  • Increased Efficiency: AFRON managed to arrange 30% to 35% more next-day freight coming into its dock due to the availability of accurate shipment data analysis.
  • Improved Productivity: Crews had prior notification of where to expect inbound cargo, thus increasing loading efficiency and dock performance.
  • Enhanced Accuracy: The actual accuracy of the respective freight bills was at an approximate level of 95%, which allowed for faster and more accurate billing, increased payment velocity, and enhanced cash generation.
  • Optimized Pricing Models: AFRON made improvements to the life-cycle, and pricing strategies and corrected manufacturing timetables and schedules in a complementary manner.
  • Higher Productivity: Discrepancy logs were made to record disparities within production or business processes for the achievement of enhanced productivity.

Conclusion 

Thus, the cooperation with Wise BI has benefited AFRON in enhancing business visibility and performance. The short time to delivery and a high degree of interactivity enabled decision-makers to work with the information and assess the impact of some problems.

This strategic implementation brought about not only increased profits but also general operation and management effectiveness. It can be seen that adopting the best practices and being willing to address change within the company is what leads to the overall success of AFRON. This was possible because Wise BI provides an effective solution for improving the efficiency and profitability of organizational processes.

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