Hotel Procurement FAQ

Hotel procurement software helps hotels manage and analyze the products and services they purchase from suppliers.

Depending on the platform, this can include purchase requests, supplier management, invoice processing, spend analytics, price comparison, RFQs, and purchasing recommendations.

Ynance focuses on turning purchasing data into actionable intelligence. It reads purchase invoices, standardizes products and units, tracks supplier prices, benchmarks eligible purchases, collects and compares supplier quotes, and lets hotel teams analyze purchasing data using AI.

The goal is to give purchasing, finance, and hotel management teams a clear view of what they buy, from whom, at what price, and where opportunities for improvement may exist.

AI invoice processing uses artificial intelligence to extract and interpret information from invoices without requiring every field to be entered manually.

Instead of only reading the invoice total, AI can process individual invoice lines, including product descriptions, quantities, units, prices, suppliers, categories, and tax information.

Ynance goes a step further by standardizing the extracted data. Different supplier descriptions for the same product can be connected to a common product record, and package sizes can be converted into comparable units.

This turns invoices from static documents into structured purchasing data that can be searched, compared, and analyzed.

Hotels can reduce procurement costs by first gaining visibility into what they are buying and how prices change over time.

Common opportunities include identifying supplier price increases, comparing the same product across vendors, benchmarking purchase prices against available market references, consolidating purchases where appropriate, and requesting competitive quotes from alternative suppliers.

Ynance helps automate these analyses across purchasing data instead of requiring teams to review invoices and spreadsheets manually.

A lower reference price does not automatically mean the hotel can achieve that price. Delivery terms, product specifications, payment terms, minimum orders, rebates, and supplier service levels should also be considered before treating a price difference as a savings opportunity.

The first step is to compare prices on a like-for-like basis.

A case price should not be compared directly with an individual-unit price, and products from different brands, sizes, grades, or specifications should not automatically be treated as identical.

Ynance standardizes products, packages, and units before comparing eligible purchases with available references such as:

• the hotel’s previous purchase prices,
• prices from other suppliers,
• current retail or business-supply prices,
• applicable published market benchmarks, and
• aggregated peer benchmarks where available and permitted.

The platform can then show an observed price gap. A price gap is a signal to investigate or negotiate; it is not automatically treated as guaranteed savings.

Procurement price benchmarking is the process of comparing the price your business pays for a product with relevant reference prices.

For a hotel, those references may include its own purchasing history, offers from alternative suppliers, public commodity or wholesale benchmarks, current business-supply prices, or aggregated prices paid by comparable properties.

The important part is comparability. Brand, product specification, package size, unit of measure, location, purchase date, and commercial terms can all affect whether two prices should actually be compared.

Ynance normalizes purchasing data first and benchmarks only where an appropriate comparison is available.

RFQ software helps purchasing teams manage a Request for Quotation process digitally.

Instead of emailing spreadsheets to multiple suppliers and manually rebuilding every response, RFQ software can create a standardized request, invite suppliers, collect their quotes, and organize the responses for comparison.

With Ynance Smart RFQ, purchasing requirements can be created from products already identified in your invoice data. Suppliers receive the same requested product specifications and quantities, while Ynance identifies differences in brands, package sizes, units, missing products, delivery conditions, and payment terms.

This makes it easier to determine the most advantageous comparable offer rather than simply selecting the lowest number on a supplier spreadsheet.

Hotels can track supplier price increases by maintaining a consistent price history for each standardized product.

The challenge is that suppliers often describe the same item differently from one invoice to another. Package sizes can also change, making a simple invoice-to-invoice comparison misleading.

Ynance standardizes those descriptions and units before building the price history. Hotels can then see how the unit price of the same product changes over time, compare suppliers, and identify unusually large increases.

This can help purchasing teams investigate increases before they become embedded in recurring purchasing costs.

Supplier invoices frequently use abbreviations, internal SKUs, different package descriptions, and inconsistent units for the same product.

For example, one supplier might describe a product by the case, another by individual units, and another using an abbreviated internal product name.

AI can extract those descriptions and connect them to standardized product records. Quantities and package sizes can then be converted into common units such as pounds, gallons, bottles, cases, or individual units.

Ynance uses this standardized layer so purchasing teams can analyze spending and compare prices across suppliers without manually cleaning the data in spreadsheets every time.

Yes. Once purchasing data has been standardized, AI can allow hotel teams to query it using natural language instead of manually building reports.

A hotel manager might ask:

“How much did we spend on tomatoes this year?”

A purchasing manager might ask:

“Which suppliers increased prices the most this quarter?”

A hotel group might ask:

“Which property pays the lowest unit price for the same product?”

Curie AI turns questions into data queries, analyzes the Ynance data the user is authorized to access, and returns the result as an answer, table, or chart. Results can be traced back to the source data used to calculate them.

Not necessarily.

Accounting systems, AP platforms, purchasing systems, and property-management systems perform important operational and financial functions. Procurement analytics software can work alongside these systems rather than replacing them.

Ynance focuses on analyzing purchasing and invoice data: standardizing product information, tracking prices, identifying anomalies, benchmarking eligible purchases, comparing supplier quotes, and making purchasing data easier to query.

Invoices can be processed through supported connected sources and document workflows, while operational data such as occupancy can be used where relevant for additional hotel-specific analysis.

The objective is to make the purchasing data your hotel already generates significantly easier to understand and use.