INSUFFICIENT_TRAINING_DATA – Recommendation Model Training Failure

[Gcp Team]

Hi Everyone,

I am repeatedly encountering the following error while creating a Recommendation model (Click-through Rate – CTR):

“INSUFFICIENT_TRAINING_DATA: Recommendation model recommende_recommende_1764045516650 cannot be trained because of insufficient data.”

I have tried creating the model and its serving configs multiple times, but the model fails every time when it reaches the training stage. I have verified the dataset and confirmed that all required data and minimum thresholds are met.

I have also attached screenshots for your reference.

Could you please look into this issue and provide a proper solution? I am unable to find any clear guidance, and this is blocking further progress.

Error Log:
{
  "insertId": "4hqtrkc1t8",
  "jsonPayload": {
    "context": {
      "reportLocation": {
        "functionName": "google.cloud.retail.v2main.ModelService.CreateModel"
      }
    },
    "status": {
      "@type": "type.googleapis.com/google.rpc.Status",
      "message": "Recommendation model recommende_recommende_1764045516650 cannot be trained because of insufficient data.",
      "code": 9
    },
    "message": "INSUFFICIENT_TRAINING_DATA Recommendation model recommende_recommende_1764045516650 cannot be trained because of insufficient data.",
    "@type": "type.googleapis.com/google.cloud.retail.logging.ErrorLog",
    "serviceContext": {
      "service": "recommendationengine.googleapis.com"
    }
  },
  "resource": {
    "type": "consumed_api",
    "labels": {
      "credential_id": "",
      "project_id": "subtle-presence-478511-b2",
      "service": "recommendationengine.googleapis.com",
      "method": "google.cloud.retail.v2main.ModelService.CreateModel",
      "version": "",
      "location": "global"
    }
  },
  "timestamp": "2025-11-25T05:20:03.975097870Z",
  "severity": "ERROR",
  "logName": "projects/subtle-presence-478511-b2/logs/recommendations-api-log",
  "receiveTimestamp": "2025-11-25T05:20:05.396597667Z",
  "errorGroups": [
    {
      "id": "CLnFqJfJw_6mKQ"
    }
  ]
}