Italian automotive retailer with multi-brand dealership and service operations
Maldarizzi operates a multi-location automotive dealership chain across southern Italy (Puglia and Basilicata) selling new, used, and demo vehicles alongside service, parts, and long-term rental. The tech stack is heavily Salesforce-centric (Sales Cloud, Service Cloud, Apex, Visualforce, Lightning) paired with Azure infrastructure and marketing automation via Hootsuite and Sprout Social — a configuration typical of dealer groups prioritizing CRM-driven sales processes and post-sale service workflows. Current hiring (35 roles, 21 mid-level, 9 logistics) suggests operational scaling, with active projects centered on warranty reimbursement accuracy, showroom expansion in central-southern Italy, and service profitability.
Maldarizzi is a privately held automotive retail group founded in 1979, operating four dealership locations in Bari and Matera. The company sells new, pre-owned, and demo vehicles; operates authorized service and parts departments; and offers long-term vehicle rental and test-drive management. Maldarizzi recognized as Italy's Best Employers 2024. The business serves customers across two southern Italian regions with a mix of sales, service, financing, and ancillary automotive services.
Maldarizzi uses Salesforce (Sales Cloud, Service Cloud, Apex, Visualforce, Lightning Pages) as its core CRM, Azure for cloud infrastructure, Power BI and Google Data Studio for analytics, MuleSoft for integration, and Hootsuite/Sprout Social for social media management.
Maldarizzi is headquartered in Bari, Puglia, Italy, with additional locations in Matera, Basilicata. The group operates four dealership sites across these two regions.
Maldarizzi's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.