Accruing for Goods Received Before Invoicing

Captures liabilities for received goods or services before invoicing, automating accruals and matching to support accurate financial reporting.

Key Features

Goods Receipt Notes (GRNs)

Creates accruals based on GRNs without matching invoices, confirming goods received but not yet billed.

Example: A shipment of 1,000 units of raw materials is received on December 30. The invoice arrives on January 10. The system records a GRNI accrual using the GRN date.

Purchase Order (PO) matching systems

Matches GRNs with POs and flags unmatched items for accrual when invoices haven’t been recorded.

Example: A PO for 500 units of packaging materials was placed, and 450 units were received by the period end. No invoice has been received, so a GRNI accrual is triggered for the received quantity.

Receiving reports or logs

Uses physical or digital logs to help accountants identify received goods that haven’t been invoiced yet.

Example: A construction company receives 100 tons of cement. The receiving report shows the delivery date, but the invoice is pending, so the accounting team accrues for this amount.

Warehouse inventory systems

Tracks stock increases and flags items without matching invoices after a set timeframe.

Example: A retailer receives 300 units of electronics and records them in inventory. The inventory system detects a delay in invoice receipt and prompts a GRNI entry.

Vendor acknowledgements or shipping documents

Uses vendor-provided delivery or dispatch documents to identify items received but not yet invoiced.

Example: A vendor delivers specialized machinery parts. The shipping documentation confirms receipt on-site, and the finance team accrues based on delivery confirmation.

KEY BENEFITS

Accruals Co-Pilot automates detection, posting, and reversal, wiping out month-end busywork; machine learning sharpens forecasts and audit trails; policy-aware configuration snaps into any ERP—cutting errors, risk, and workload in one stroke.

80%

Accrual processing cost

Co-pilot reports all accrued expenses using AI eliminating the need for manual accruals completely

<5%

Variance in accured Vs actual costs

Co-pilot identifies all expenses comprehensively for all type of scenarios through data using AI.

Human Errors

Accrual reversal

Month end closing pressure

Auditability

Why Hyperbots Agentic AI Platform?

Why choose hyperbots agentic AI: finance-first, accurate, adaptable AI

Finance specific

Hyperbots Agentic AI platform specializes exclusively in finance and accounting intelligence, leveraging millions of data points from invoices, statements, contracts, and other financial documents. No other platform has such large pretrained models on F&A data.

Best-in-class accuracy

Hyperbots achieves 99.8% accuracy in converting unstructured data to structured fields through a multimodal MOE model integrating LLMs, VLMs, and layout models. With contextual validation and augmentations, the platform ensures 100% accuracy for deployed agents.

Synthesis of unstructured and strutured finance data

Hyperbots agents emulate finance professionals to autonomously perform F&A tasks by reading and writing data like COA, expenses, and vendor masters from core accounting systems and integrating it with unstructured data from financial documents such as invoices, POs, and contracts.

Pre-trained agents with state of the art models

Hyperbots' Agentic platform, pre-trained on millions of financial documents like invoices, bills, statements, and contracts, ensures seamless integration, high accuracy, and adaptability to any accounting content, form, layout, or size from day one.

Company specific inference time learning

Hyperbots' Agentic platform employs state-of-the-art Auto ML pipelines with techniques like reinforcement learning to enable inference-time learning for tasks such as GL recommendation and cash outflow forecasting, ensuring continuous improvement and adaptability.

FAQs: Accruals Discovery for Goods Received but not Invoiced

What do you do if good received are lesser than in PO. What computation Hyperbots Co-pilot does to estimate accrual?

Hyperbots Co-pilot computes the accrued amount based on actual goods received. This is done by understanding unit price from PO and multiplying goods received count from GRN.

How can timing differences between the arrival of goods and the subsequent vendor invoice impact financial statements if not recorded as GRNI?

If the receipt of goods is not recorded as a GRNI accrual, liabilities and expenses remain understated until the invoice arrives. This timing gap can distort financial results, affecting period-end reporting accuracy, and potentially misleading stakeholders about the company’s true expenses and obligations.

What role do vendor acknowledgements or shipping documents play in verifying received goods before an invoice is issued?

Vendor acknowledgements or shipping documents confirm the dispatch and delivery of products. Accounting teams can rely on these documents to accrue expenses for received goods, ensuring that financial records reflect actual liabilities even if the invoice is delayed.

Why is it important for warehouse inventory systems to alert accounting teams to incoming stock without associated invoices?

Warehouse inventory systems track stock levels in real-time. If no invoice is matched to recently added inventory, these alerts prompt accounting to record a GRNI accrual. Without such alerts, there is a risk of understating liabilities and misrepresenting the company’s financial position.

How can regular review of physical or digital receiving logs improve the accuracy of GRNI accruals?

This manual regular review is not more needed once Hyperbots Accruals Co-pilot is implemented. Co-pilot keeps using GRN and open PO discovery automatically in 24x7 manner.

In what ways do 2-way matching by Hyperbots Co-pilot help detect discrepancies between received quantities and pending invoices?

Hyperbots Accrual Co-pilot compare quantities received (from GRNs) against the original order details. If the invoice does not arrive or shows different amounts, the system flags these discrepancies, ensuring that any goods without matching invoices are promptly accrued as a GRNI entry.

How do Goods Receipt Notes (GRNs) serve as a reliable source document for identifying goods received but not yet invoiced?

GRNs are generated at the point of receiving goods and record the exact quantities and receipt date. Since the vendor’s invoice may not arrive immediately, GRNs provide authoritative evidence that inventory has been received and should be accrued as a liability until the invoice is recorded. Hyperbots Accruals Co-pilot reads GRN and PO from ERPs and estimates the accrued expenses through matching.

Finance Transformations Powered by Agentic AI

Real outcomes from finance teams using Hyperbots Agentic AI

  • NYC-based Media & Market Services Company

    Processed 1 million invoices annually across 20+ legal entities in the U.S. & Europe
    ERPs
    NetSuite
    SAP
    Hyperbots Agents Used

    Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection | Vendor Management | Procurement

    80%

    Straight-Through Processing

    99.8%

    Extraction Accuracy

    60%

    Cost Reduction in

    Finance Operations

  • $5B+ Miami-based Manufacturing Company

    Processed 250k+ invoices annually across a complex manufacturing finance environment
    ERPs
    Oracle Cloud
    Hyperbots Agents Used

    Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection | Exception Handling

    85%

    Straight-Through Processing

    60%

    Cost Reduction

    90%

    Reduction in Manual Exception Management

  • A Large DTH Services Company

    Processed 400k+ invoices annually with a big vendor base, including a huge volume of PO-based invoices requiring matching
    ERPs
    SAP S/4HANA
    Hyperbots Agents Used

    Email Triaging | Extraction Agent | Invoice Processing | Matching | Fraud Detection

    90%

    Straight-Through Processing

    for PO Invoices

    11 -> 1

    Days Reduction in

    Invoice Processing Time

  • Boston-based Semiconductor Robotic Manufacturing Company

    Processed 30K+ invoices annually across vendors, PO matching, procurement workflows, and finance approval chains
    ERPs
    Epicor Kinetic
    Hyperbots Agents Used

    Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection | Procurement

    50%

    Human Bandwidth

    Optimization

    1 week -> 1 day

    Reduction in Invoice

    Processing Time

  • NYC-based Home Decor & Lifestyle Consumer Brand

    Processed 20K+ invoices across 200+ factories with complex vendor onboarding, packing slips, inventory updates, and invoice workflows
    ERPs
    CGS BlueCherry
    Microsoft Business Central
    Hyperbots Agents Used

    Vendor Onboarding | Vendor Communication | Packing Slip Extraction | Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection | Surcharge, Freight & Custom Duty Allocation

    70%

    Reduction in Vendor Management Overhead

    10 days > 1 day

    Reduction in Invoice Processing Time

    90%

    Accelerated Inventory Updates

  • Houston-based Petrochemical Marketing Company

    Processed 40K+ invoices annually across a multi-entity procure-to-pay environment
    ERPs
    QuickBooks Desktop
    Datacor
    Hyperbots Agents Used

    Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection

    70%

    Reduction in

    Operating Cost

    90%

    Reduction in

    Invoice Cycle Time

  • $1B+ Global Multi-Entity Pharmaceutical Company

    Processed large volume of invoices annually across multi-entity, multi-currency operations in the U.S. & Europe with a global supplier base
    ERPs
    SAP Business One
    Hyperbots Agents Used

    Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection

    80%

    Straight-Through Processing

    90%

    Reduction in Invoice Processing Time

    Zero

    Duplicate

    Payments

    Single View

    of All Multi-entity Payables

  • $9B+ Manufacturing Enterprise

    Processed large volume of invoices annually with complex freight charges, duties, and surcharge allocations across invoices and POs
    ERPs
    Microsoft Great Plains
    Hyperbots Agents Used

    Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection | Custom Duty, Freight & Surcharge Allocation

    80%

    Straight-Through Processing

    0 -> 100%

    Automated Freight

    & Duty Allocation

  • Chicago-based Orthopedic Services Company

    Optimized the ad-hoc finance operations, processing large & complex finance documents with an unclear Chart of Accounts
    ERPs
    QuickBooks Online
    Hyperbots Agents Used

    Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection

    80%

    Straight-Through Processing

    75%

    Reduction in

    Manual Effort

  • NYC-based Apparel Manufacturer

    Optimized 2 different processes & systems for the prototyping & production phases of apparel orders, creating a complex and redundant procurement process
    ERPs
    WFX
    Momentis
    Microsoft Great Plains
    Hyperbots Agents Used

    Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection | Procurement | Surcharge, Freight & Custom Duty Allocation

    80%

    Reduction in

    Processing Time

    80%

    Increase in

    Productivity Gains

    Optimized

    Procurement

    Workflows

  • Washington, D.C.-based Federally Funded Media Organization

    Optimized a 24-step guest and vendor management along with payment process across a large volume of transactions
    ERPs
    Deltek Costpoint
    Hyperbots Agents Used

    Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection | Procurement | Vendor Onboarding | Payments

    24 -> 2

    Guest Management

    Steps Reduction

    10 -> 2 Weeks

    Reduction in

    Time to Pay

    80%

    Increase in

    Productivity Gains

  • Los Angeles-based EV Infrastructure Company

    Managed a highly manual inventory procurement and complex exception-heavy 3-way matching processes
    ERPs
    NetSuite
    Hyperbots Agents Used

    Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection

    80%

    Reduction in

    Exceptions

    99.5%+

    AI Extraction

    Accuracy Achieved

  • Atlanta-based Food Processing Company

    Processed 300M+ pounds of annual production across 3 large facilities with complex cash reconciliation across bank feeds, remittances & orders
    ERPs
    QuickBooks Desktop
    Hyperbots Agents Used

    Cash Application | Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection

    0 -> 90%

    STP Achieved in Cash Reconciliation

    80%

    STP Achieved in

    Invoice Processing

  • San Francisco-based Healthcare Payment Solutions Provider

    Managed manual procurement, lengthy P2P cycles, high invoice processing effort & month-end challenges around accruals & reconciliation
    ERPs
    Traverse
    NetSuite
    Hyperbots Agents Used

    Procurement | Accruals | Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection

    40%

    Close Cycle

    Reduction

    80%

    STP in

    Invoice Processing

    30%

    Reduction in

    Time to Procure

  • $1B+ Miami-based Global Seafood Supplier

    Manages raw material inventory accruals and reversals across shipments, invoices, and POs while maintaining inventory accuracy and accelerating AP processing
    ERPs
    SAP S/4HANA
    Hyperbots Agents Used

    Accruals | Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection | Validation | Augmentation

    80%

    Reduction in

    Time to Accrue

    80%

    Improvement in

    AP Productivity

  • NYC-based Largest Animal Hospital Operator

    Optimized for high complexity across vendor management, accounts payable, and vendor payments, requiring a modern, highly accurate, and transformative solution to optimize finance operations
    ERPs
    NetSuite
    Hyperbots Agents Used

    Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection | Procurement | Validation | Augmentation

    60%

    Reduction in

    Vendor Management Overhead

    70%

    Gain in

    AP Productivity

  • Boston-based Furniture Manufacturing Firm

    Optimized a complex AP environment with multi-tier supply chains, mixed-vendor purchasing, 3-way matching, freight audits, progress billing, & required a custom ERP integration
    ERPs
    Hedberg
    Hyperbots Agents Used

    Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection | Procurement | Validation | Augmentation

    80%

    Straight-Through Processing

    85%

    Reduction in

    Exceptions

  • NYC-based Design & Fabrication Firm

    Managed multi-currency AP, import-export compliance, taxes, freight, and vendor operations across the U.S., Mexico, and China
    ERPs
    Microsoft Business Central
    Hyperbots Agents Used

    Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection | Validation | Augmentation | Vendor Management

    80%

    Reduction in Vendor Management Overhead

    100%

    Tax Compliance

    100%

    Accuracy in

    Freight & Duty Allocation

  • Texas-based Non-Profit Organization

    Managed fund-based accounting, restricted donations, multi-entity cost allocations, tax documentation, employee & vendor payments, and audit compliance
    ERPs
    Propriety System
    Hyperbots Agents Used

    Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection | Validation | Augmentation | Vendor Management

    80%

    Reduction in

    AP Effort

    99%+

    AI Extraction Accuracy

  • Chicago-based Energy R&D Organization

    Managed AP across research programs, grants, and projects with unique approval, coding, compliance, and funding requirements
    ERPs
    Deltek Costpoint
    Hyperbots Agents Used

    Costpoint Read/Write | Email Triaging | Extraction | Invoice Processing | Matching | Fraud Detection | Validation | Augmentation

    70%

    Productivity Improvement

    Improved

    Project-Level Cost Allocation

    Faster & Cleaner

    Book Closing

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