Manual PO release-Single Supplier to Automated EDI releases to Multi-Supplier

In the Supply Chain - Procurement process, for any material purchase, the single supplier are chosen based on the quotation from multiple suppliers in order to process each Purchase Order.

Scope:

The existing procurement process of selecting a single supplier, for each material based on manually analysing the quotation is not a proper match for the business. Since the final selected single supplier for a materaial, was also failed with his commitment in several cases and reflected loss in the business.

Instead of Manual purchase orders to single supplier for a material can proceed with multi -supplier for a single material and EDI (Electonic Data Interchange) releases instead of Manual Purchase orders based on Quota allocation will be a proper match for the business.

Current State

Future State

Analysis tools used: Gap Analysis, Cost – benefit analysis, SWOT analysis, Business Process Modelling.

Tools used for development: Jira, Confluence, QAD ERP, Alteryx.

Methodology: Hybrid (Agile & Waterfall)

Timeline : 6 months

As Is Process / Existing system:

❖ Production Plant Purchase team uploads the demand forecast to the system.

❖ Based on Demand Forecast , the RFQ is generated and shared to different suppliers. Based on RFQ, each suppliers generates a quotation to the plant purchase team.

❖ Purchase team analysis the quote and selects the supplier for the part based on cost, quality and efficiency.

❖ Once the supplier is confirmed, the purchase request is created and converted to Purchase order.

❖ Based on the purchase order, the supplier ships the part.

Gap Analysis:

• There are numerous parts to be triggered with PO. Analysing each quotation is time consuming

• Supplier selection cannot be done efficiently with existing approach

• Excess Manual intervention in the process.

To be Process / New System:

❖ Once the Demand & Forecast is uploaded by the production purchase, the Open Purchase orders are created.

❖ The system automatically triggers the quotation price for each material to the supplier and analysis the supplier with and updates the quota percentage for each supplier based on their price and previous data on quality rejections and supplier efficiency details.

❖ Each supplier listed in the system will receive the supply requirement quantity based on the quota allocated by the system.

❖ For each material will have multi-supplier delivering the part based on EDI supply requirement.

Benefits:

• Supplier selection, quota allocation will be completely managed and automated by the system. The system allocates equally to all the listed suppliers based on their cost, quality and efficiency.

• For the same part, we can have supply from different suppliers based on their quota allocation. Thereby the safe approach on part supply continuity

• Since the allocation quota is based on the cost, quality and efficiency of the supplier. If any issue is marked to the supplier will have reduction of quota for the particular supplier and the reduced quota will be matched with other suppliers quota increase.

Martech

Martech, or Marketing Technology, encompasses the integration of various software, tools, and platforms that marketers utilize to plan, execute, manage, and assess their campaigns and strategies. This approach not only automates tasks but also delivers data-driven insights that enhance customer engagement. It spans a wide range of functionalities, including customer relationship management (CRM), analytics, and advanced technologies like artificial intelligence for personalization and automation.

As Is/Current State

To be/Future State

Ford uses CRM data to help with marketing and advertising. This data helps the company understand how well their ads are working and what customers like.

However, there is a problem because the sales targets are checked without connecting to how customers respond to the ads. This means that while Ford can see if they are meeting their sales goals, they might not fully understand how effective their marketing efforts are in reaching and engaging customers. This disconnect can make it harder for them to improve their strategies and connect better with their audience.

To bridge the gap between customer responses and marketing strategies, enhanced techniques were implemented. This involved gathering data from various sources, including CRM systems, online customer searches, cookie pools, and third-party data, which were then analyzed to identify target customers and tailor market strategies accordingly. The marketing processes have been automated to minimize human error, and this automation also encompasses tracking customer feedback and satisfaction, ensuring that insights are continuously fed back into the data collection process.

• CRM (Customer Relationship Management): SAP CRM

• Marketing Automation: HubSpot.

• Analytics: Microsoft Power BI, Alteryx and Tableau.

• Content: Hubspot CMS Hub

• AdTech: was handled by 3rd party - Google advertisements.

• SEO Tools: Google tools.

Tools used in this Martech

Dashboards

Dashboards were designed with Marketing campaign status, customer responses, customer satisfaction as chart and location wise