SURFACE COATING PRICE CALCULATIONS

The Purchasing Department of Würth Business Services is equipped with a team of highly experienced procurement and purchasing professionals. We are instrumental in fulfilling the business-specific requirements by handling different processes related to Purchasing and serving customers across the globe. Among many non-core procurement and Purchasing-related processes handled by us, Surface Coating Price Calculations is one of the major processes.

In this process, we calculate the price of sub-contracting, i.e. surface coating for an article through inquiries. As soon as we receive an inquiry from buyers in the Enterprise Resource Planning (ERP) system, we avail the pricelist for different coatings. This way, we add the price of original article and add the price of coatings to it. We also inquire about the delivery timeline for the coatings. The optimum price and delivery timeline is considered as a winner and we send the recommendations to the buyer.

Work Flow
Benefits
Transition

Work Flow

WORK FLOW OF THE PROCESS

  • 01. Receive

    Receive an enquiry from buyers through ERP system

  • 02. Calculate

    Calculate the total subcontracting price of the article

  • 03. Add

    Add prices of different surface coating materials

  • 04. Review

    Review the received inspection reports as per the standards and norm requirements

  • 05. Send

    Send the recommendations to the buyers

Benefits

Value-added

BENEFITS OF OUR CUSTOMERS

Save a significant amount of time in analyzing prices of coating

Save costs by knowing the optimum prices and delivery timeline

Experienced professionals to analyze prices

Transition

TIME TAKEN FOR TRANSITION

Step 1

Analysis of requirements – 1 Week

Step 2

Documentation – 1 Week

Step 3

Create framework – 1 Week

Step 4

Step-by-step implementation – 3-4 Weeks

Step 5

Transfer – 1 Week

For more assistance in understanding the transition process, kindly get in touch with us at contact-wbs@wuerth-industrie.com

Case study:

Optimizing Surface Coating Price Calculations for Saving Costs


Introduction:

In the intricate world of surface coating, accurate pricing is crucial for providing buyers with transparent and competitive offerings. Our customer, Würth Industrie Service GmbH & Co. KG, recognized the need to save costs by gaining information about surface coating prices and choosing the best option. This case study delves into the Surface Coating Price Calculations process, in which our team receives buyer inquiries through the ERP system, calculates the total subcontracting price of the article, adds prices of different surface coating materials and sends recommendations to buyers. This meticulous process aims to streamline pricing strategies and enhance customer engagement without the involvement of automation.

Problem:

Our customer faced challenges in efficiently managing the Surface Coating Price Calculations process. The customer needed to invest a considerable number of man-hours to execute the process. Furthermore, it led to potential delays in responding to buyer inquiries, difficulties in consistently calculating total subcontracting prices and challenges in providing transparent and competitive pricing. These inefficiencies hindered the company's ability to optimize customer engagement, impacting overall competitiveness and customer satisfaction.

Solution:

Recognizing the need to enhance their Surface Coating Price Calculations process, we adopted a systematic approach to improve accuracy and order processing efficiency. Our key solutions included:

1. Efficient Inquiry Processing: We initiated a manual process to receive buyer inquiries through the ERP system, ensuring a systematic approach to logging and processing each inquiry promptly.

2. Accurate Total Price Calculation: Despite manual processing, our dedicated team ensured accurate calculation of the total subcontracting prices of the article, incorporating all relevant factors such as materials, labor and overhead.

3. Transparent Coating Material Pricing: Actively adding prices of different surface coating materials, we ensured transparency in pricing, providing buyers with detailed insights into the cost components.

4. Proactive Buyer Recommendations: We implemented a proactive approach by sending timely recommendations to buyers, showcasing competitive pricing and potential value-adds.

Results:

The changes implemented in the Surface Coating Price Calculations process led to significant improvements in accuracy, transparency and customer engagement for Würth Industrie Service GmbH & Co. KG. The key results included:

1. Streamlined Inquiry Processing: Despite manual processes, the time taken to process buyer inquiries decreased considerably, ensuring quicker responses and improved overall customer engagement.

2. Enhanced Price Calculation Accuracy: Meticulous calculation of the total subcontracting price resulted in an increase in accuracy, reducing errors in pricing and fostering trust with buyers.

3. Transparent Material Pricing: The inclusion of detailed surface coating material prices contributed to an improvement in transparency, providing buyers with a clear understanding of cost breakdowns.

4. Improved Customer Engagement: The proactive approach in sending buyer recommendations led to an enhancement in customer engagement, strengthening relationships and increasing customer satisfaction.

5. Time Saving: Our approach led to significant time savings per month. We saved nearly 150 hours for our customer in a month. This saved time can be utilized for executing different core operations.

Conclusion:

By transferring the Surface Coating Price Calculations process, our customer ensured accurate pricing and enhanced engagement. By implementing efficient inquiry processing, accurate total price calculation, transparent material pricing and proactive buyer recommendations, we successfully improved its competitiveness. The results underscore the value of manual processes in ensuring meticulous pricing strategies.

Transfer the Surface Coating Price Calculations process.