From CLV to Action: A Lightweight Framework for Omnichannel Automation and Budget Allocation in SaaS
- DOI
- 10.2991/978-94-6239-711-8_18How to use a DOI?
- Keywords
- Customer Lifetime Value; SaaS; Omnichannel Automation; Explainable AI; Churn Management; Budget Allocation
- Abstract
The increasing use of artificial intelligence (AI) in customer relationship management has enabled firms to automate interactions across multiple channels. However, many software-as-a-service (SaaS) companies struggle to align omnichannel automation and budget allocation with customer value, particularly in emerging market contexts where data and analytical resources are constrained. This study proposes an AI-enabled, yet non–machine-learning, framework that integrates short-horizon customer value estimation with operational risk signals to guide automation governance and resource allocation. Using an 18-month customer–month panel from a B2B SaaS company, the analysis examines cohort-based churn heterogeneity, validates the economic relevance of forward-looking value tiers, and evaluates journey-level outcomes in terms of churn, realized revenue, and automation spend. The results show that churn probabilities vary systematically by customer tenure and subscription tier, that short-horizon value tiers align closely with realized six-month revenue and retention outcomes, and that aggregating value and risk at the journey level provides a transparent basis for allocating automation budgets. Rather than prioritizing predictive complexity, the proposed framework emphasizes interpretability, managerial relevance, and feasibility. The findings demonstrate how explainable AI principles can be operationalized to improve omnichannel automation governance in SaaS firms, offering practical insights for organizations operating under data, budgetary, and capability constraints.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zohra Nourhane Chebab AU - Yahia Boukerch PY - 2026 DA - 2026/06/24 TI - From CLV to Action: A Lightweight Framework for Omnichannel Automation and Budget Allocation in SaaS BT - Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026) PB - Atlantis Press SP - 183 EP - 193 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-711-8_18 DO - 10.2991/978-94-6239-711-8_18 ID - Chebab2026 ER -