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How to Quickly Cut Procurement Expenses: Harness the Power of Spend Analytics

August 2, 2024
12 min
How to Quickly Cut Procurement Expenses: Harness the Power of Spend Analytics

Procurement is evolving, and its role as a value generator within businesses is more crucial than ever. For procurement leaders, balancing cost management with extending influence into strategic areas is no easy task, and the pressure to deliver is immense.

While procurement teams have made significant strides in meeting C-suite expectations across various domains, are they falling back in meeting C-suite expectations for cost management?

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Is Procurement Failing the C-Suite?

Only 16% of C-suite executives have confidence in procurement's spend management.

Reducing procurement expenses has always continued to be among the top priorities for procurement teams and is crucial for maintaining profitability and gaining a strategic edge.

One of the most effective ways to achieve this is through spend analytics. By leveraging advanced data analysis techniques, companies can uncover hidden savings opportunities, optimise supplier relationships, and streamline procurement processes.


Understanding Spend Analytics

Spend analytics involves the collection, cleansing, enrichment, classification, and analysis of expenditure data to improve efficiency and reduce costs.

This process enables businesses to gain a comprehensive view of their spending patterns across various dimensions, uncover areas of high spend or revenue leakages, and identify areas where cost savings can be realised.

By transforming raw spend data into actionable insights, organisations can streamline processes, strengthen supplier relationships, and drive bottom-line growth.

Critical steps in Spend Analytics - It all starts with your data!

  1. Data Collection
    Gathering data from various sources, such as invoices, purchase orders, and contracts, residing across different systems like ERP, HR systems, IT Asset databases, Product Catalogs, MS Excel, etc.
  2. Data Cleansing
    Ensuring data accuracy by removing duplicates and correcting errors.
  3. Data Enrichment
    Enrich the data by adding missing details and improving data quality to enhance the accuracy and depth of analysis.
  4. Data Classification
    Classify the data into relevant categories such as supplier, category, department, and geography using a standardised (e.g., UNSPSC, NAICS) or custom classification system to organise spending data for deeper analysis
  5. Data Analysis
    Analysing the spend data and delivering actionable insights. Quickly identify trends, patterns, and anomalies that indicate areas for cost reduction.

Benefits of Spend Analytics

  • Enhanced Visibility and Control
    It provides detailed insights into procurement transactions, allowing organisations to understand where their money is going and identify inefficiencies and areas for improvement.
  • Supplier Consolidation and Relationship Management
    Provides visibility into the supplier landscape and performance. Consolidating suppliers enables better negotiation terms, leading to more favourable contracts, volume discounts, and improved supplier relationships.
  • Identifying Cost-Saving Opportunities
    Highlights opportunities for cost reduction by providing granular insights into spend across various dimensions, including spend by suppliers, departments, location or categories, empowering you to identify areas of high spend, opportunities for consolidating suppliers, negotiations and cost savings.
  • Risk Mitigation
    For see and mitigate risks associated with supplier dependency and compliance issues.
  • Budgeting and Forecasting
    Get visibility into historical spend trends to enhance budgeting and forecasting accuracy. Predict future expenses and allocate resources more effectively.
  • Reduce Maverick Spend
    Get visibility into non-contract spending and maintain budget control, ensuring procurement policies are adhered to and reducing unauthorised purchases.

AI-Powered Spend Analytics Solutions – The Game Changer

AI is transforming spend analytics from a reactive, manual process to a proactive, automated one.  

  • Mastering your Data
    AI-powered tools are adept at mastering your data before delivering analysis and insights. These tools seamlessly integrate disparate, siloed data sources, automatically cleaning, classifying, and analysing your data to provide previously unattainable insights.
  • Automated Real-Time Analysis
    AI continuously analyses and monitors your data, providing real-time insights and alerts for anomalies or deviations from the average spend trends or behaviours.
  • Tighter control of spend, with holistic spend, supplier and contract insights
    AI-powered spend analytics solutions provide spend insights across various spend dimensions. In addition, these tools provide complete visibility into your supplier landscape and performance. Intelligent spend analytics solutions like Spendkey extend their capabilities to provide contract insights, offering you a unified solution that offers you spend, supplier and contracts insights all in one platform that facilitates better negotiations, improved strategic decision-making, reduced spend and improved compliance.
  • Predictive Analytics
    AI spend Analytics solutions have predictive analytics capabilities that help you make future spend forecasts and enables you to streamline budgeting and forecasting.
  • Powered by Co-pilots or Assistants
    Some Spend Analytics solutions have AI assistants that constantly analyse and understand your data and suggest optimal actionable strategies to achieve cost efficiency and reduce risks.

Best Practices for Implementing AI in Spend Analytics

Ready to start implementing AI-powered spend analytics solutions? Keep the following in mind.

  • Start with Clean Data:
    Effective AI relies on high-quality, consolidated data. Ensure your data is clean and accurate.
  • Define Clear Objectives:
    Clearly understand your goals with AI, whether it's reducing costs, enhancing efficiency, or improving compliance.
  • Choose the Right AI Solution
    Opt for AI tools that integrate well with your existing systems and can scale as needed. The tools should also be customisable to meet specific business requirements.
  • Monitor and Refine
    Continuously monitor AI performance and refine algorithms based on feedback and evolving business needs.

Scouting for a AI Spend Analytics Solution?

Discover Spendkey, an AI-powered spend decisioning tool that goes beyond analytics to provide insights and actionable strategies for achieving cost efficiency and reducing risk.

Meet Cassian, Spendkey's AI Spend Co-pilot: Cassian collects, cleans, and enriches data from various documents and systems, analyses the data, shares insights, and provides actionable recommendations. With Cassian, you can take proactive steps to control spend, make timely decisions, and negotiate better deals. Automate tasks to reduce supply risk, cut costs, enhance quality, and improve sustainability and performance.

Cassian is launching soon! Would you like to be among the elite group of procurement leaders shaping Cassian to meet the industry's needs? Share your feedback and join the waitlist by clicking here.

Working with the best

Since implementing Spendkey's tail spend reduction feature, we've been able to save thousands of pounds every month. It's been a game-changer for us!

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Akshay Upadhye
Akshay Upadhye
Co-Founder
Akshay solves the biggest challenges faced by organizations as they digitally transform and establish a reputation for delivery. His contribution enables the business to realize a sustainable market competitive advantage, measured tangibly onto the business bottom line. His reputation is underpinned by a cumulative experience exceeding 22 years where he has been engaged by both small niche businesses to private equity-owned entities and world recognised brands.

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