{
    "version": "1.2.0",
    "type": "INDUSTRY_SOLUTION",
    "meta": {
        "name": "Dynamic HCP Segmentation",
        "solution_line_of_business": [
            "Marketing / Sales / Customer"
        ],
        "solution_category": [
            "Life Sciences",
            "Cross-Vertical"
        ],
        "main_industry": "life-sciences",
        "blockCloud": "true",
        "description": "Create, maintain and compare HCP segments based on sales-driven, behavioral, and engagement patterns",
        "long_description": "A sales and/or marketing manager needs to be able to take varied sources of customer or HCP information, such as reach, frequency, prescribing behaviors, addressable patient populations, recent engagement activity, and their sphere of influence in a multi-faceted approach to create, maintain and update various segments for precision targeting, personalized engagement  and effective  commercial sales and marketing resource allocation. The Dynamic Segmentation Solution provides a web application framework to create, manage, and compare various data-driven HCP segments that are dynamically updated with ongoing data collection.\n",
        "web_id": "solution-dynamic-segmentation",
        "flag_release": "",
        "solution_type": [
            "ML/Analytics"
        ],
        "flag_max_date": ""
    },
    "requirements": {
        "code_envs": [
            {
                "name": "solution_dynamic-seg",
                "lang": "PYTHON",
                "deploymentMode": "DESIGN_MANAGED",
                "pythonInterpreter": "PYTHON39",
                "packages": [
                    "dash==2.18.1",
                    "dash-bootstrap-components==1.6.0",
                    "scikit-learn==1.5.2"
                ],
                "conda": false,
                "installCorePackages": true,
                "corePackagesSet": "PANDAS22",
                "installJupyterSupport": true
            }
        ]
    }
}