A research about software development project revealed that only 31% projects were successfully conducted and the entire was challenged. On the other report, 62% IT projects failed in terms of delivery time, 49% over the cost, and 47% projects obtained higher maintenance cost. In the era of the machine learning also digital intelligence as now, e-commerce located in Indonesia competes to win a market acquisition by giving recommended products through the digital intelligence approach. But this key objective has a challenge in terms of the deliverable process. Study case from an e-commerce in Indonesia stated that given seven projects, only one projects or system still being used until the end, two projects were decommissioned, and also a project was halted due to facing a lot of issues. Hence, this applied research was initiated to identify the rank of success factors in the field of machine learning projects. Qualitative combined by quantitative methods were used sequentially to get the critical factors and measure the rank based on hierarchical analytics using AHP. Six projects' success criteria and fifteen success factors criteria evaluated by the four experts on high level position both developers and project managers. The highest rank of the projects' success criteria is user's satisfaction by 27.7%, meet the quality standard by 22.8%, and meet the time by 18.8%. In terms of critical success factors, the top three are clarity on the project's goal and objective by 15.25%, project manager's capability by 9.37%, and followed by clear communication by 8.82%.