Trusted by innovative organizations since 2015.
Context
The challenges of your industry
Operational data is abundant, but business intelligence is fragmented
Automotive companies generate rich operational data: stock levels, maintenance records, customer interactions, pricing signals... But when it lives in disconnected systems, decisions get made on partial information, and opportunities go unnoticed.
Inventory and purchasing decisions still rely on experience over evidence
Stock allocation, purchasing timing, and pricing optimization in leasing and retail are decisions made constantly, often manually. Without analyzing demand signals, market conditions, and historical patterns, companies leave real money on the table.
Customer lifecycle management is reactive and generic
Automotive customer relationships span years and multiple touchpoints: purchase, financing, service, renewal, replacement. Most organizations lack the tools to anticipate needs, personalize outreach, and act at the right moment.
Solutions
The solutions we offer
AI-powered inventory, stock, and purchasing optimization
We build models that analyze your stock data, demand patterns, and market signals to help leasing and retail teams make smarter purchasing and allocation decisions. Less excess inventory, better margins, faster turnover.
Operational dashboards and performance reporting
We replace fragmented reporting with unified, real-time dashboards that give management a clear view of fleet performance, maintenance costs, dealer KPIs, and operational efficiency.
Customer lifecycle analytics and AI-driven campaign optimization
We help automotive companies build a complete view of their customers across the full lifecycle, and use AI to identify the right moment to engage, the right offer to make, and the right channel to use.
Where we create value
Six capabilities.
One goal : measurable impact.
From strategy to execution, Agilytic covers the full spectrum of data & AI work — so you're never left to stitch together different partners at each stage.
How we work
1. Start from your business objectives
We don't begin with data or technology. We begin with what you're trying to achieve — reduced churn, faster decisions, better risk pricing — and work backwards from there.
2. Assess your data reality honestly
We tell you what's actually usable, what needs to be fixed, and what you can realistically achieve in 3, 6, and 12 months. No inflated promises.
3. Build what gets used, not what looks impressive
Our team works at the intersection of technical rigour and business pragmatism. We build solutions that your teams will actually adopt and run.
Case studies
A few client success stories
Cutting manual email handling through inbox automation
How we implemented inbox automation to reduce manual email handling in an automotive company
Data-driven customer segmentation in automobile retail
Discover how an automobile retail group optimized their marketing actions with data-driven customer segmentation
Driving down costs: how strategic analysis improves automobile maintenance
How strategic analysis with ETL and Power BI dashboards reduced auto leasing maintenance costs.
