Whilst it was thought that Industry 4.0 would support sustainable growth, it overlooked or misinterpreted many current sustainability issues, which gave rise to the Industry 5.0 agenda. Such a revolution facilitates sustainable development through its three dimensions. Therefore I 5.0 promotes more effective management of business environment as supply chain resources. Although artificial intelligence (AI) and big data analytics (BDA) are becoming more well liked in the context of supply chains, research to this day is fragmented into research streams that are mostly determined by the publishing outlet. This study appraises the ability of these techniques in manufacturing enterprises toward sustainability based on a set of criteria. Hence, we identified the criteria which related to AI and BDA. The various techniques as entropy and weighted sum models of multi-criteria decision-making (MCDM) techniques are working under the authority of single values neutrosophic sets (SVNSs) to enhance and boost these techniques in uncertain situations. The constructed appraiser decision model (ADM) is applied to real enterprises to validate this model.