Transform Procurement with Powerful Spend Analytics Software

Real-Time Spend Analytics and Insights

Gain unparalleled visibility with the spend dashboard. Experience next-level analytics at your fingertips, enhanced by powerful filter and search functionality.

Spend Analytics Features

Make Better Decisions, Faster

Stay on top of your procurement strategy with seamless, real-time analytics that take the guesswork out of spending. Our intuitive dashboard delivers instant visibility into your financial data, giving you the insights you need to make smarter decisions faster.

Real-Time Spend Analytics Dashboard

With the advanced spend dashboard, employees and stakeholders get real-time request status, eliminating the need for frequent updates. The spend analysis dashboard view saves you time from toggling between multiple reports, streamlining decision-making, and enhancing efficiency. The procurement team can also easily identify saving opportunities and uncover bottlenecks in the approval process to streamline procurement further.

Effortless Spend Reporting

Designed to enhance your efficiency, Tipalti eliminates the need for the tedious task of offline data cleanup and segmentation. Effortlessly filter data and custom fields to scope out your custom spend report, or leverage the free-text search to pinpoint exactly what you need—all on-demand.

Repository of Spend Data

Tipalti takes your spend analysis to the next level by consolidating all your spend data—purchases, receipts, suppliers, and contracts—directly at your fingertips. With the ability to easily generate and export spend reports, you smoothly navigate your spend data, extract critical insights, and ensure stringent control over your OKRs and KPIs.

Work smarter, not harder

With AI and machine learning capabilities, an intuitive UX, and quick and easy global payments, you can drive unprecedented efficiency.

AI

Smarter processes. Instant insights. More productivity. Less manual work. Tipalti AI actually gets things done.

Global

Manage all entities’ payables operations from a single system. Enable each entity to operate with its own unique workflows and branding.

Payment Fraud Protection

Detect and prevent fraud with AI-driven pattern recognition. Block suspicious payees from receiving payments, prevent them from creating new accounts, and get notified of abnormal activities.

Controls and Compliance

Stay compliant across jurisdictions with automated tax compliance, built-in payment protections, and top-tier security controls.

Pre-built connections to extend automated workflows

Easily extend and simplify your workflows with pre-built integrations and powerful APIs for your ERPs, accounting systems, performance marketing platforms, HRIS, SSO, Slack, credit cards, and more.

Customer Stories

Don’t just take our word for it,

see what our customers are saying

Sugar CRM
SugarCRM avoided new hires, streamlined vendor management with fast payments, and integrated seamlessly with NetSuite ERP.
Product
Accounts Payable
Procurement
Region
United States, Global
Industry
Software and technology
Size
100 – 1000

Read Customer Story

PubMatic
PubMatic streamlined global mass payments, cut processing time to 3 minutes, and enhanced operations with a robust NetSuite ERP integration.
Product
Accounts Payable
Mass Payments
Procurement
Region
United States, Global
Industry
AdTech
Size
100 – 1000

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Cybereason
Cybereason customized purchase requisitions to fit its structure and built a seamless integration with its ERP, NetSuite.
Product
Accounts Payable
Procurement
Region
United States, Global
Industry
Software and technology
Size
1000+

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Vydia
With Tipalti, Vydia now executes reliable monthly royalty payouts and large-scale advances through a centralized payments process.
Product
Accounts Payable
Mass Payments
Procurement
Region
United States
Industry
Music royalties
Size
Sub 100

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Spend Analytics FAQs

What is the purpose of spend analytics?

Spend analytics gives organizations valuable insights into spending patterns, helping them optimize their procurement processes, reduce costs, and improve profitability. Spend analytics involves collecting, analyzing, and visualizing information related to company expenses, offering a clearer understanding of where and how money is being spent.

Reduce Costs

Spend analytics examines expenditure and procurement data to uncover opportunities for cost reduction. These could include tasks like consolidating suppliers, negotiating better terms, or eliminating wasteful spending.

Enhance Supplier Management

Assesses supplier performance based on cost, quality, delivery, and compliance, helping identify top-performing suppliers and those that require improvement.

Improve Transparency and Visibility

Spend analytics provides a comprehensive overview of all expenditures across departments, categories, and suppliers. This allows companies to see the complete picture of their financial outflows.

How does Tipalti help in managing and analyzing spend data?

Tipalti offers a comprehensive suite of tools that help companies manage and analyze spend data more effectively. Here’s how Tipalti assists in these areas:

Spend Visibility and Analytics

The Tipalti platform consolidates spend data from various sources into a single solution, providing a comprehensive view of all financial transactions and data. This centralization in the spend analysis process helps in tracking and managing tail spend more effectively.

Streamlined Payment Processing

Tipalti automates the entire payment process, from invoice capture to payment execution. This reduces human errors and processing time, ensuring more accurate payments to suppliers and vendors.

How does Tipalti streamline the process of spend reporting?

Tipalti optimizes the process of spend reporting through a combination of integrated tools and automated features that enhance data visibility, accuracy, and efficiency. Here’s how:

Centralized Data Collection
Tipalti consolidates all spend-related data into a single platform, integrating with various sources such as invoices, payments, and supplier information. Centralizing this data reduces the need for manual aggregation and ensures that reporting initiatives are based on a comprehensive and accurate data set.