Real-Time Financial Variance Analysis Models for Procurement and Material Cost Monitoring

Authors(6) :-John Oluwaseun Olajide, Bisayo Oluwatosin Otokiti, Sharon Nwani, Adebanji Samuel Ogunmokun, Bolaji Iyanu Adekunle, Joyce Efekpogua Fiemotongha

Effective financial management in procurement requires the timely identification and analysis of cost variances to control budgets and enhance supply chain efficiency. This paper presents a comprehensive real-time financial variance analysis model designed specifically for procurement and material cost monitoring. Integrating continuous data capture, advanced processing algorithms, and interactive dashboards, the model enables dynamic detection and prediction of cost deviations. A detailed methodology outlines the model’s framework, data integration techniques, and analytical tools, including machine learning for predictive insights. Implementation in a manufacturing firm demonstrated significant improvements in variance detection accuracy and responsiveness, leading to proactive cost control and supplier management. Performance evaluation highlighted the model’s capability to transform traditional financial monitoring from reactive reporting to proactive decision-making. The study concludes by discussing practical implications for organizations seeking enhanced procurement cost governance and offers recommendations for future research to improve model integration, predictive power, and applicability across procurement categories.

Authors and Affiliations

John Oluwaseun Olajide
Lipton, USA
Bisayo Oluwatosin Otokiti
Department of Business and Entrepreneurship, Kwara State University
Sharon Nwani
Migo, Lagos, Nigeria
Adebanji Samuel Ogunmokun
Vaste Limited, Nigeria
Bolaji Iyanu Adekunle
Data Scientist, GSFEN Limited, Nigeria
Joyce Efekpogua Fiemotongha
Independent Researcher, Lagos, Nigeria

Real-time analytics, Financial variance analysis, Procurement cost monitoring, Predictive modeling, Supply chain management, Data integration

  1. M. Safa, A. Shahi, C. T. Haas, and K. W. Hipel, "Supplier selection process in an integrated construction materials management model," Automation in construction, vol. 48, pp. 64-73, 2014.
  2. T. Johnsen, M. Howard, and J. Miemczyk, Purchasing and supply chain management: A sustainability perspective. Routledge, 2018.
  3. B. Farrington and K. Lysons, Procurement and supply chain management. Pearson UK, 2020.
  4. P. J. Baily, Purchasing and supply management. Springer, 2013.
  5. A. Gunasekaran, N. Subramanian, and S. Rahman, "Supply chain resilience: role of complexities and strategies," vol. 53, ed: Taylor & Francis, 2015, pp. 6809-6819.
  6. A. Aljohani, "Predictive analytics and machine learning for real-time supply chain risk mitigation and agility," Sustainability, vol. 15, no. 20, p. 15088, 2023.
  7. C. Mandl and S. Minner, "Data-driven optimization for commodity procurement under price uncertainty," Manufacturing & Service Operations Management, vol. 25, no. 2, pp. 371-390, 2023.
  8. C. Yang, Q. Huang, Z. Li, K. Liu, and F. Hu, "Big Data and cloud computing: innovation opportunities and challenges," International Journal of Digital Earth, vol. 10, no. 1, pp. 13-53, 2017.
  9. S. Rani, P. Bhambri, and A. Kataria, "Integration of iot, big data, and cloud computing technologies: Trend of the era," in Big Data, Cloud Computing and IoT: Chapman and Hall/CRC, 2023, pp. 1-21.
  10. Q. Ma, H. Li, and A. Thorstenson, "A big data-driven root cause analysis system: Application of Machine Learning in quality problem solving," Computers & Industrial Engineering, vol. 160, p. 107580, 2021.
  11. R. Handfield, S. Jeong, and T. Choi, "Emerging procurement technology: data analytics and cognitive analytics," International journal of physical distribution & logistics management, vol. 49, no. 10, pp. 972-1002, 2019.
  12. S. M. Bragg, Financial analysis: a controller's guide. John Wiley & Sons, 2012.
  13. P. Schuster, M. Heinemann, P. Cleary, P. Schuster, M. Heinemann, and P. Cleary, "Variance Analysis and Control," Management Accounting, pp. 173-214, 2021.
  14. I. Dew-Becker, S. Giglio, A. Le, and M. Rodriguez, "The price of variance risk," Journal of Financial Economics, vol. 123, no. 2, pp. 225-250, 2017.
  15. P. Russom, D. Stodder, and F. Halper, "Real-time data, BI, and analytics," Accelerating Business to Leverage Customer Relations, Competitiveness, and Insights. TDWI best practices report, fourth quarter, pp. 5-25, 2014.
  16. V. Ravi and S. Kamaruddin, "Big data analytics enabled smart financial services: opportunities and challenges," in Big Data Analytics: 5th International Conference, BDA 2017, Hyderabad, India, December 12-15, 2017, Proceedings 5, 2017: Springer, pp. 15-39.
  17. A. Mustafa and N. Hameed, "Advanced Computing Techniques for Real-Time Data Processing and High-Performance Computing," Journal of Advanced Computing Systems, vol. 3, no. 8, pp. 1-8, 2023.
  18. S.-A. Ionescu and V. Diaconita, "Transforming financial decision-making: the interplay of AI, cloud computing and advanced data management technologies," International Journal of Computers Communications & Control, vol. 18, no. 6, 2023.
  19. O. Ogunwole, E. C. Onukwulu, N. J. Sam-Bulya, M. O. Joel, and G. O. Achumie, "Optimizing automated pipelines for realtime data processing in digital media and e-commerce," International Journal of Multidisciplinary Research and Growth Evaluation, vol. 3, no. 1, pp. 112-120, 2022.
  20. P. Chima and J. Ahmadu, "Implementation of resettlement policy strategies and community members' felt-need in the federal capital territory, Abuja, Nigeria," Academic journal of economic studies, vol. 5, no. 1, pp. 63-73, 2019.
  21. O. ILORI, C. I. LAWAL, S. C. FRIDAY, N. J. ISIBOR, and E. C. CHUKWUMA-EKE, "Blockchain-Based Assurance Systems: Opportunities and Limitations in Modern Audit Engagements," 2020.
  22. A. Ambasht, "Real-Time Data Integration and Analytics: Empowering Data-Driven Decision Making," International Journal of Computer Trends and Technology, vol. 71, no. 7, pp. 8-14, 2023.
  23. E. O. ALONGE, N. L. EYO-UDO, B. CHIBUNNA, A. I. D. UBANADU, E. D. BALOGUN, and K. O. OGUNSOLA, "Digital Transformation in Retail Banking to Enhance Customer Experience and Profitability," 2021.
  24. M. T. AYUMU and T. C. OHAKAWA, "Optimizing Public-Private Partnerships (PPP) in Affordable Housing Through Fiscal Accountability Frameworks, Ghana in Focus," 2021.
  25. B. I. Adekunle, E. C. Chukwuma-Eke, E. D. Balogun, and K. O. Ogunsola, "Predictive Analytics for Demand Forecasting: Enhancing Business Resource Allocation Through Time Series Models," 2021.
  26. O. O. Agbede, E. E. Akhigbe, A. J. Ajayi, and N. S. Egbuhuzor, "Assessing economic risks and returns of energy transitions with quantitative financial approaches," International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, no. 1, pp. 552-566, 2021.
  27. O. H. Olayinka, "Leveraging Predictive Analytics and Machine Learning for Strategic Business Decision-Making and Competitive Advantage," International Journal of Computer Applications Technology and Research, vol. 8, no. 12, pp. 473-486, 2019.
  28. L. R. Isi, E. Ogu, P. I. Egbumokei, I. N. Dienagha, and W. N. Digitemie, "Pioneering Eco-Friendly Fluid Systems and Waste Minimization Strategies in Fracturing and Stimulation Operations," 2021.
  29. N. J. Isibor, C. P.-M. Ewim, A. I. Ibeh, E. M. Adaga, N. J. Sam-Bulya, and G. O. Achumie, "A Generalizable Social Media Utilization Framework for Entrepreneurs: Enhancing Digital Branding, Customer Engagement, and Growth," International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, no. 1, pp. 751-758, 2021.
  30. A. S. Ogunmokun, E. D. Balogun, and K. O. Ogunsola, "A Conceptual Framework for AI-Driven Financial Risk Management and Corporate Governance Optimization," 2021.
  31. J. P. Onoja, O. Hamza, A. Collins, U. B. Chibunna, A. Eweja, and A. I. Daraojimba, "Digital Transformation and Data Governance: Strategies for Regulatory Compliance and Secure AI-Driven Business Operations," 2021.
  32. A. G. Adeleke, T. O. Sanyaolu, C. P. Efunniyi, L. A. Akwawa, and C. F. Azubuko, "Optimizing systems integration for enhanced transaction volumes in Fintech," Finance & Accounting Research Journal P-ISSN, pp. 345-363, 2022.
  33. D. Ajiga, L. Ayanponle, and C. Okatta, "AI-powered HR analytics: Transforming workforce optimization and decision-making," International Journal of Science and Research Archive, vol. 5, no. 2, pp. 338-346, 2022.
  34. M. T. Ayumu and T. C. Ohakawa, "Real Estate Portfolio Valuation Techniques to Unlock Funding for Affordable Housing in Africa," 2022.
  35. F. I. Babalola, E. Kokogho, P. E. Odio, M. O. Adeyanju, and Z. Sikhakhane-Nwokediegwu, "Redefining Audit Quality: A Conceptual Framework for Assessing Audit Effectiveness in Modern Financial Markets," 2022.
  36. E. C. Chukwuma-Eke, O. Y. Ogunsola, and N. J. Isibor, "A conceptual framework for financial optimization and budget management in large-scale energy projects," International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, no. 1, pp. 823-834, 2022.
  37. S. C. Friday, C. I. Lawal, D. C. Ayodeji, and A. Sobowale, "Strategic Model for Building Institutional Capacity in Financial Compliance and Internal Controls Across Fragile Economies," 2022.
  38. A. B. N. Abbey, N. L. Eyo-Udo, and I. A. Olaleye, "Implementing Advanced Analytics for Optimizing Food Supply Chain Logistics and Efficiency."
  39. A. Abisoye, J. I. Akerele, P. E. Odio, A. Collins, G. O. Babatunde, and S. D. Mustapha, "A data-driven approach to strengthening cybersecurity policies in government agencies: Best practices and case studies," International Journal of Cybersecurity and Policy Studies.(pending publication).
  40. O. S. Adanigbo, F. S. Ezeh, U. S. Ugbaja, C. I. Lawal, and S. C. Friday, "A Conceptual Model for Stakeholder Engagement and Cross-Functional Collaboration in Fintech Product Development," innovation, vol. 19, p. 20.
  41. O. S. Adanigbo, F. S. Ezeh, U. S. Ugbaja, C. I. Lawal, and S. C. Friday, "Advances in Blockchain and IoT Applications for Secure, Transparent, and Scalable Digital Financial Transactions," institutions, vol. 28, p. 30.
  42. M. O. Kanu, I. N. Dienagha, W. N. Digitemie, E. Ogu, and P. I. Egbumokei, "Optimizing Oil Production through Agile Project Execution Frameworks in Complex Energy Sector Challenges," 2022.
  43. M. O. Kanu, P. I. Egbumokei, E. Ogu, W. N. Digitemie, and I. N. Dienagha, "Low-Carbon Transition Models for Greenfield Gas Projects: A Roadmap for Emerging Energy Markets," 2022.
  44. O. E. Adesemoye, E. C. Chukwuma-Eke, C. I. Lawal, N. J. Isibor, A. O. Akintobi, and F. S. Ezeh, "Integrating Digital Currencies into Traditional Banking to Streamline Transactions and Compliance."
  45. O. A. Ajala and D. A. Soladoye, "Introducing the Principles of Cybersecurity, Artificial Intelligence, and IoT Applications into the STEM Curriculum to Enhance Students' Hands-on Learning, Conducting Real-World Case Studies and Project-Based Assessments is truly a Novel and Sensational Approach."
  46. L. S. KOMI, E. C. CHIANUMBA, A. YEBOAH, D. O. FORKUO, and A. Y. MUSTAPHA, "A Conceptual Framework for Training Community Health Workers Through Virtual Public Health Education Modules," 2022.
  47. S. D. Mustapha and B. Ibitoye, "Understanding of Traffic Signs by Drivers on Urban Roads–A Case Study of Ilorin, Kwara State," J. Eng. Res. Rep, vol. 23, no. 12, pp. 39-47, 2022.
  48. E. O. Alonge, N. L. Eyo-Udo, B. C. Ubanadu, A. I. Daraojimba, E. D. Balogun, and K. O. Ogunsola, "Integrated framework for enhancing sales enablement through advanced CRM and analytics solutions."
  49. A. A. Apelehin et al., "Reviewing the Role of Artificial Intelligence in Personalized Learning and Education."
  50. O. Famoti et al., "Agile Software Engineering Framework for Real-Time Personalization in Financial Applications."
  51. O. Famoti et al., "Data-Driven Risk Management in US Financial Institutions: A Business Analytics Perspective on Process Optimization."
  52. R. Wieringa, "Empirical research methods for technology validation: Scaling up to practice," Journal of systems and software, vol. 95, pp. 19-31, 2014.
  53. V. Attipoe, I. Oyeyipo, D. C. Ayodeji, N. J. Isibor, and B. Apiyo, "Economic Impacts of Employee Well-being Programs: A Review."
  54. D. C. Ayodeji, I. Oyeyipo, M. O. Nwaozomudoh, N. J. Isibor, E. A. B. A. M. Obianuju, and C. Onwuzulike, "Modeling the Future of Finance: Digital Transformation, Fintech Innovations, Market Adaptation, and Strategic Growth."

Publication Details

Published in : Volume 6 | Issue 5 | September-October 2023
Date of Publication : 2023-09-12
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 115-125
Manuscript Number : GISRRJ236511
Publisher : Technoscience Academy

ISSN : 2582-0095

Cite This Article :

John Oluwaseun Olajide, Bisayo Oluwatosin Otokiti, Sharon Nwani, Adebanji Samuel Ogunmokun, Bolaji Iyanu Adekunle, Joyce Efekpogua Fiemotongha, "Real-Time Financial Variance Analysis Models for Procurement and Material Cost Monitoring", Gyanshauryam, International Scientific Refereed Research Journal (GISRRJ), ISSN : 2582-0095, Volume 6, Issue 5, pp.115-125, September-October.2023
URL : https://gisrrj.com/GISRRJ236511

Article Preview