This abstract explores the versatile applications of software as a service (SAAS) products across several key business domains, including person tracking, communication (chatting), order and billing systems, customer management, and outstanding management. SAAS solutions have revolutionized person tracking by providing comprehensive tools for monitoring and managing personnel activities in real time, from attendance tracking to performance evaluation, thereby fostering a productive and accountable workforce. Similarly, SAAS-based communication platforms have transformed intra-organizational and client interactions through features like instant messaging, file sharing, and video conferencing, promoting seamless collaboration and improved decision-making processes. Moreover, SAAS-driven order and billing systems automate and optimize the entire order-to-cash process, enhancing accuracy, speed, and transparency, which in turn leads to enhanced customer satisfaction and revenue growth.

Keywords: Communication, order and billing system, customer management, outstanding management

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1. Huo Z. Sales prediction based on machine learning. In: 2021 2nd International Conference on E-Commerce and Internet Technology (ECIT), Hangzhou, China, March 5–7, 2021. 410–415.
2. Tandel T, Wagal S, Singh N, Chaudhari R, Badgujar V. Case study on an android app for inventory management system with sales prediction for local shopkeepers in India. In: 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, March 6–7, 2020. 931–934.
3. Kaunchi P, Jadhav T, Dandawate Y, Marathe P. Future sales prediction for Indian products using convolutional neural network-long short term memory. In: 2021 2nd Global Conference for Advancement in Technology (GCAT), Bangalore, India, October 1–3, 2021. 1–5).
4. Corsaro D, Maggioni I, Olivieri M. Sales and marketing automation in the post-Covid-19 scenario: value drivers in B2B relationships. Ital J Market. 2021; 2021 (4): 371–392.
5. Rach M. The future of marketing and sales automation. In: Hannig U, Seebacher U, editors. Marketing and Sales Automation: Basics, Implementation, and Applications. New York, nY, USA: Springer; 2023. 431–446.
6. Macas CVM, Aguirre JAE, Arcentales-Carrión R, Peña M. Inventory management for retail companies: a literature review and current trends. In: 2021 Second International Conference on Information Systems and Software Technologies (ICI2ST), Quito, Ecuador, March 23–25, 2021. 71–78.
7. Fan Y. Development of inventory management system. In: 2010 2nd IEEE International Conference on Information Management and Engineering, Chengdu, China, April 16–18, 2010. 207–210.
8. Preil D, Krapp M. Artificial intelligence-based inventory management: a Monte Carlo tree search approach. Ann Oper Res. 2022; 308 (1): 415–439.
9. Meng X, Li J, Dai X. Selection of solution strategies for colored traveling salesman problems with different city distribution. In: 2016 13th International Workshop on Discrete Event Systems (WODES), Xi’an, China, May 30–June 1, 2016. 338–342.
10. Jelinek R. Integrating SFA technology into the sales curriculum: helping students understand what, why, and when. Market Educ Rev. 2018; 28 (2): 80–88.
11. He J, Guan Z, Li Y. Optimal ordering policy of competitive retailers with different risk preferences. In: Proceedings of the Fifth International Conference on Transportation Engineering (ICTE 2015), Dalian, China, September 26–27, 2015. 810–824.
12. Wang J, Chen X. The retailer's ordering policy for two-way complete substitute commodity with lead time reliability. In: Liu R, Zhang J, Guan C, editors. Logistics: The Emerging Frontiers of Transportation and Development in China. Reston, VA, USA: ASCE; 2009. 1375–1380.
13. Han Z, Yang J, Guo J, He J, Wang J. Research on procurement quantity and inventory of fresh retailers based on nonlinear game model. In: Proceedings of the 19th COTA International Conference of Transportation Professionals (CICTP), Nanjing, China, July 6–8, 2019. 4914–4925.
14. Liu LH, Ye CM. Model and algorithm for inventory-transportation integrated optimization—in view of one-warehouse multi-retailer distributing network. In: Proceedings of the First International Conference on Transportation Engineering, Chengdu, China, July 22–24, 2007. 1163–1168.

This abstract explores the versatile applications of software as a service (SAAS) products across several key business domains, including person tracking, communication (chatting), order and billing systems, customer management, and outstanding management. SAAS solutions have revolutionized person tracking by providing comprehensive tools for monitoring and managing personnel activities in real time, from attendance tracking to performance evaluation, thereby fostering a productive and accountable workforce. Similarly, SAAS-based communication platforms have transformed intra-organizational and client interactions through features like instant messaging, file sharing, and video conferencing, promoting seamless collaboration and improved decision-making processes. Moreover, SAAS-driven order and billing systems automate and optimize the entire order-to-cash process, enhancing accuracy, speed, and transparency, which in turn leads to enhanced customer satisfaction and revenue growth.

Keywords: Communication, order and billing system, customer management, outstanding management

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

1. Huo Z. Sales prediction based on machine learning. In: 2021 2nd International Conference on E-Commerce and Internet Technology (ECIT), Hangzhou, China, March 5–7, 2021. 410–415.
2. Tandel T, Wagal S, Singh N, Chaudhari R, Badgujar V. Case study on an android app for inventory management system with sales prediction for local shopkeepers in India. In: 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, March 6–7, 2020. 931–934.
3. Kaunchi P, Jadhav T, Dandawate Y, Marathe P. Future sales prediction for Indian products using convolutional neural network-long short term memory. In: 2021 2nd Global Conference for Advancement in Technology (GCAT), Bangalore, India, October 1–3, 2021. 1–5).
4. Corsaro D, Maggioni I, Olivieri M. Sales and marketing automation in the post-Covid-19 scenario: value drivers in B2B relationships. Ital J Market. 2021; 2021 (4): 371–392.
5. Rach M. The future of marketing and sales automation. In: Hannig U, Seebacher U, editors. Marketing and Sales Automation: Basics, Implementation, and Applications. New York, nY, USA: Springer; 2023. 431–446.
6. Macas CVM, Aguirre JAE, Arcentales-Carrión R, Peña M. Inventory management for retail companies: a literature review and current trends. In: 2021 Second International Conference on Information Systems and Software Technologies (ICI2ST), Quito, Ecuador, March 23–25, 2021. 71–78.
7. Fan Y. Development of inventory management system. In: 2010 2nd IEEE International Conference on Information Management and Engineering, Chengdu, China, April 16–18, 2010. 207–210.
8. Preil D, Krapp M. Artificial intelligence-based inventory management: a Monte Carlo tree search approach. Ann Oper Res. 2022; 308 (1): 415–439.
9. Meng X, Li J, Dai X. Selection of solution strategies for colored traveling salesman problems with different city distribution. In: 2016 13th International Workshop on Discrete Event Systems (WODES), Xi’an, China, May 30–June 1, 2016. 338–342.
10. Jelinek R. Integrating SFA technology into the sales curriculum: helping students understand what, why, and when. Market Educ Rev. 2018; 28 (2): 80–88.
11. He J, Guan Z, Li Y. Optimal ordering policy of competitive retailers with different risk preferences. In: Proceedings of the Fifth International Conference on Transportation Engineering (ICTE 2015), Dalian, China, September 26–27, 2015. 810–824.
12. Wang J, Chen X. The retailer's ordering policy for two-way complete substitute commodity with lead time reliability. In: Liu R, Zhang J, Guan C, editors. Logistics: The Emerging Frontiers of Transportation and Development in China. Reston, VA, USA: ASCE; 2009. 1375–1380.
13. Han Z, Yang J, Guo J, He J, Wang J. Research on procurement quantity and inventory of fresh retailers based on nonlinear game model. In: Proceedings of the 19th COTA International Conference of Transportation Professionals (CICTP), Nanjing, China, July 6–8, 2019. 4914–4925.
14. Liu LH, Ye CM. Model and algorithm for inventory-transportation integrated optimization—in view of one-warehouse multi-retailer distributing network. In: Proceedings of the First International Conference on Transportation Engineering, Chengdu, China, July 22–24, 2007. 1163–1168.