Supply Chain Management

Supply Chain Services and KPI Dashboard Management

Service Offerings

Service Overview

Businesses strive to keep sufficient inventory while boosting inventory turnover, which is crucial for smooth business operations. TekLink's Supply Chain Consulting and KPI Dashboard Management experts help companies optimize supply chain management procedures and planning, considering the full scope of sales and operations planning to integrate them effectively. TekLink also assists businesses in developing powerful and comprehensive Integrated Business Planning Platforms to aid supply chain data analytics, crucial analytics, data visualization, and SCM best practices.

Service Overview

Success Stories

Migrate from QAD to SAP S4 HANA with the existing Tableau Dashboards

Migrate from QAD to SAP S4 HANA with the existing Tableau Dashboards

An improved Supply Chain Management and reporting with Snowflake

An improved Supply Chain Management and reporting with Snowflake

Self-service analytics on heterogeneous sources

Self-service analytics on heterogeneous sources

Service Offerings

TekLink's Supply Chain KPI Management Services help gain customers' trust and act as an engine of growth through new customer experiences.

Service Offerings

TekLink works with management teams to help them with business operations and align them with industry best practices. TekLink also assists in creating solution roadmaps, IT budgets, capability evaluations, and developing proof of concepts.

  • Starting from the requirement gathering phase to the setting of the Supply Chain KPIs, design phase, configuration, testing, and final implementation, TekLink consultants assist businesses in implementing Supply Chain services, S&OP, and Integrated Business Planning (IBP) solutions.

Following a successful implementation, TekLink experts handle enhancements to the Supply Chain, Integrated Business Planning (IBP), reassessing supply chain KPIs, Sales & Operations Planning solutions, KPI Dashboard management, upgrades to newer versions, and any other platform migration that a company may need.

Performance, cost optimization, KPI Dashboard management, and administration on the supply/IBP Platforms are all part of TekLink’s AMS services. TekLink’s services range from serving as a business’s designated security administrator to executing data loads and overseeing data analysis and management.

TekLink’s data visualization team can assist you with data storytelling, designing, building, and maintaining valuable and relevant data visualizations. The TekLink team can help enable self-service analytics using Microsoft Power BI, Tableau, Cliqview, and other BI tools of your choice.

Solution and Starter Kits

Inbound Supply Chain Services Management Analytics

Businesses can leverage TekLink's Inbound SCM Analytics templates for generating Supplier Scorecards, Spend Analytics, and other Procurement KPIs. Analytics models include Management Scorecards and detailed Spend Analytics.

Performance 360/Spend Performance

TekLink's Spend Performance starter kit provides complete visibility to the procurement process, including data preparation, supply chain KPI, data visualization, and supply chain data analytics. TekLink builds KPI frameworks for procurement savings, operating costs, quality, supply assurance, supplier performance, inventories, payables, and operating cash flows.

Spend Forecasting

To help organizations manage their spend and supplier base effectively, TekLink's expert will help create solutions for reviewing and planning procurement spends on key categories based on suppliers, products, SKUs, and geographies.

Supply Chain Data Analytics for e-commerce sites

Businesses can use TekLink's Supply Chain consulting Data Analytics to accurately monitor raw materials, manufacturing, and distribution of products at the right time. TekLink's Analytics capabilities also entail supply and demand management, warehousing, inventory tracking, order entry, order management, distribution, and customer delivery.

Outbound Supply Chain consulting Data Analytics

Businesses can use TekLink's Supply Data Chain Analytics to accurately monitor raw materials, manufacturing, and distribution of products at the right time. TekLink's Analytics capabilities also entail supply and demand management, warehousing, inventory tracking, order entry, order management, distribution, and customer delivery.

Supply Chain Management and Warehousing

TekLink's Supply Chain Consulting Management experts assist businesses in managing supply chain operations, including sales and distribution, warehouse management, transportation, logistics, and inventory management.

Integrated Business Planning and Execution

IBP experts at TekLink assist businesses with demand planning to build a complete strategy for MPP, MSP, and Supply Chain Management features such as distribution, inventory management, transportation, logistics, and other essential areas. SAP IBP, APO, ECC modules, and Anaplan are some technologies that TekLink excels in.

Inventory Analytics

This solution provides end-to-end visibility into the complete inventory levels at different locations and offers smart inventory trends and reports. It also enables business users to analyze inventory-related data more accurately to determine its relation to profitability.

“TekLink provided worry free BEx to AO Migration by analysing and converting our 500+ BEx workbooks to Analysis for Office while also increasing adoption by running power user workshops.”
Lakshmi Thota
Lakshmi Thota

Sr. Manager, Rust-Oleum Company

“Thanks for being a great partner and for your leadership in architecting and building SAP HANA based Analytics Platform!”
Senior Director

Commercial Distributor of Hospitality Products

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Frequently Asked Questions

What Are the Types of Supply Chain Data Analytics?

The types of Supply Chain Data Analytics are as follows:
● Descriptive Analytics – Provides visibility of a single truth across the supply chain for both internal and external sources of data
● Prescriptive Analytics – Helps organizations solve business problems and drive valuable collaborations
● Predictive Analytics – Helps organizations comprehend the most likely outcome or future scenario, as well as its business implications.
● Cognitive analytics – Helps an organization answer complex questions in natural language, similar to how a person or group of people would respond to a question.

What are the core components of supply chain data analytics?

Planning, information, sourcing, inventory, production, transportation, and return of goods are the components of supply chain data analytics.

How is data analytics used in supply chain management?

Supply chain data analytics can help a company better predict future demand by analyzing customer data. It assists an organization in determining which products can be reduced when they become less profitable or in determining what customer needs will be after the initial order.

How Can Supply Chain Data Analytics Make My Business More Profitable?

With modern




 technology, you can use the massive data from the entire supply chain to your advantage and improve your company’s profitability.

How can I have a strong Supply Chain Data Analytics strategy?

Here is how you can strengthen your supply chain data analytics strategy:
●Gather accurate and complete data while acquiring the technical and business skills required to maximize its value.
●Set proper supply chain KPIs.
●Test various supply chain analytics techniques to determine which are the most effective at mitigating business disruptions.
●Invest in supply chain data analytics and digital solutions in the real-time

What are some challenges to Supply Chain Data Analytics Success?

The adoption of supply chain data analytics is filled with numerous challenges:
● Not all businesses have the scalable data foundation required to create supply chain data analytics that accurately represent the supply chain services
● There is a scarcity of talent and skills relevant to supply chain data analytics
● Adoption can be slowed by a lack of clarity on the supply chain data analytics business case