Trusted by innovative organizations since 2015.
Context
The challenges of your industry
Customer data is rich, but the full picture never comes together
Point-of-sale systems, e-commerce platforms, loyalty programs, and marketing tools each capture a piece of customer behavior. Without a unified data layer, signals that predict churn, upsell potential, or shifting demand get lost between systems.
Inventory and demand planning still leave money on the table
Overstocking ties up cash. Understocking loses sales. Most retail and CPG organizations still plan on historical averages and buyer intuition; the cost of getting it wrong compounds at scale.
Promotional and trade spending is optimized by gut feel
Retail and consumer goods companies invest heavily in marketing, yet most struggle to measure what actually drives incremental sales versus what would have happened anyway. Budgets get allocated to what feels right, not what works.
Solutions
The solutions we offer
Unified customer intelligence and AI-powered personalization
We connect your customer data sources into a single, reliable view, then build AI models that identify segments, predict behavior, and surface recommendations.
Demand forecasting and inventory optimization
We develop machine learning models that factor in your sales history, market signals, and external variables to forecast demand. Leaner inventory, fewer stockouts.
Promotion analytics and trade spend optimization
We build reporting frameworks that let you measure the true impact of your investments. Identify what works by segment or channel, and allocate budgets accurately.
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
Analytics chatbot development on Databricks to reduce data team dependency
How Agilytic developed an analytics chatbot on Databricks for a self-storage provider
Power BI reporting reengineering: from 5 workspaces to 3 governed models
A food and beverage leader ran Power BI across five workspaces. We consolidated 10+ data models into 3 governed ones and cut 100+ report pages to 30.
Modernizing the data foundation for an international CPG leader
Agilytic modernized a CPG leader's reporting ecosystem. We built a scalable data foundation on Snowflake, reducing development cycles by 30%.
