Proje İçeriği

The ExpendiSmart project aims to revolutionize expense management by integrating artificial intelligence (AI) technology to
streamline and automate the process. Employees utilize their mobile devices to capture photos of expense documents,
which are then analyzed by AI algorithms to identify key information and automatically populate relevant fields. This
automated process accelerates expense reporting and approval, saving time and labor for both employees and finance
teams.
Key Features:
Mobile Expense Capture: Employees can conveniently capture expense receipts using their mobile devices, eliminating the
need for manual data entry.
AI Expense Recognition: Advanced AI algorithms analyze expense documents to identify key information such as date,
amount, and vendor, minimizing errors and inaccuracies.
Automated Data Entry: Relevant fields in the expense report are automatically populated with data extracted from the
expense documents, reducing manual effort and ensuring consistency.
Streamlined Approval Process: Completed expense reports are seamlessly integrated into the approval workflow, enabling
faster processing and decision-making.
Real-time Insights: Managers and finance teams have access to real-time insights and analytics on expense trends, patterns,
and outliers, empowering data-driven decision-making.
Benefits:
Efficiency: ExpendiSmart improves efficiency by simplifying and automating the expense reporting process, reducing the
time and effort required for manual data entry and approval.
Accuracy: AI-powered expense recognition minimizes errors and inaccuracies in expense reporting, ensuring data integrity
and compliance with corporate policies.
Cost Savings: By optimizing resource utilization and streamlining workflows, organizations can achieve cost savings in terms
of labor, time, and administrative overhead.
Compliance: The project enhances compliance with expense policies and regulations by enforcing consistent data capture
and approval processes.
User Experience: Employees benefit from a user-friendly and intuitive expense reporting system, enhancing user satisfaction
and adoption rates.
The ExpendiSmart project represents a strategic investment in leveraging AI technology to drive operational efficiency,
improve data accuracy, and enhance the overall expense management process. By automating manual tasks and providing
real-time insights, organizations can achieve greater agility, productivity, and cost-effectiveness in managing expenses.

Projenin Amacı

This project was carried out to streamline and improve the current process.

Proje içindeki en büyük inovasyon nedir? (yeni bir teknoloji veya var olan teknolojinin farklı kullanımı gibi. IOT, M2M, AI vb.)

The biggest innovation in mobile AI-powered expense management processes is automated expense recognition and categorization. This technology analyzes and categorizes expenses automatically without requiring users to manually input receipts or transaction details. Using AI algorithms, it can identify the type of transaction, amount, and even the relevant vendor.

Some key contributions include:

Receipt and Invoice Scanning: AI-powered mobile apps can digitize receipts or invoices by scanning their photos with Optical Character Recognition (OCR) technology and automatically categorize the expenses.

Automatic Categorization: Expenses are automatically classified into categories such as business travel, office supplies, fuel, meals, etc., using AI algorithms.

Expense Anomaly and Fraud Detection: AI can detect unusual spending patterns or potential fraudulent activities and provide instant alerts.

Real-Time Reporting and Forecasting: It analyzes spending trends, provides budget forecasts, and offers suggestions, making financial planning more efficient.

These innovations help companies and individuals save time, improve accuracy, and make expense management more secure.

Proje kurum içindeki hangi bölüme fayda sağlamıştır?(satış, pazarlama, finans, İK, IT, Üretim, Planlama, Satın alma, Lojistik Müşteri İlişkileri gibi)

Finance, Accounting, HR

Projenin hayata geçirilmesi konusunda üst yönetimin desteğini tam olarak alabildiniz mi?

Yes

Proje sonunda ortaya çıkan sonuçları analiz edebildiniz mi? Rakamsal verilerle ifade eder misiniz?(ROI, maliyetlerde yüzdesel azalma, üretim süresinde azalma, hata payının düşmesi vs.)

This project, delivered entirely using internal resources, not only reduces the operational workload but also brings an estimated annual savings of approximately 100,000 USD, excluding the unquantifiable gains from fraud prevention.

Projenizde şirket içinden kaç kişi aktif olarak görev almıştır? Ekip birimleri hakkında kısaca bilgi verir misiniz?

8

Projenizde (varsa)işbirliği kurduğunuz veya destek aldığınız bilişim şirketlerini belirtiniz.

No external Partner

Proje sırasında kullandığınız ve spesifik önemi olan markaları (varsa) belirtiniz. (Yazılım veya donanım markaları)

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