Enterprise AI for retail profit growth

AI that increases retail profitability.

Profinity AI helps retailers improve pricing, markdowns, forecasting, inventory performance, and commercial decision-making with enterprise-grade decision intelligence.

2–5%Target EBITDA uplift opportunities
90Days to measurable pilot outcomes
4High-impact profit levers
AIBuilt for commercial decisions
The problem

Retailers do not lose margin in one place. They leak it across decisions.

Pricing, markdowns, promotions, demand signals, supplier costs, and inventory actions often operate in silos. The result is slower decisions, excess stock, missed sales, and avoidable margin erosion.

01

Delayed markdowns

Late clearance actions reduce sell-through and increase inventory write-offs.

02

Pricing leakage

Teams lack decision support to balance demand, margin, competition, and inventory.

03

Forecast misses

Inaccurate demand signals create stockouts, overstock, and working capital pressure.

The platform

Decision intelligence for retail profit teams.

Profinity AI converts retail data into recommended actions across pricing, markdowns, inventory, forecasting, and promotion performance.

  • Pricing intelligence and margin opportunity detection
  • Markdown optimization for faster sell-through
  • Demand forecasting and replenishment signals
  • Inventory risk alerts and dead-stock reduction
  • Executive dashboard for measurable commercial impact
Outcomes

Built for measurable business impact, not vanity AI.

Margin growth

Identify commercial actions that directly improve gross margin and EBITDA.

Faster sell-through

Optimize markdown timing and inventory liquidation decisions by category and location.

Decision clarity

Give merchants, pricing, supply chain, and leadership one aligned view of profit levers.

Launch offer

90-Day Profit Uplift Pilot

Start with one category, business unit, or region. Profinity AI identifies margin leakage, pricing gaps, markdown opportunities, demand signals, and inventory risks — then converts them into action recommendations.

Pilot-ready

Weeks 1–2

Data discovery, profit leakage map, baseline KPIs, and opportunity sizing.

Weeks 3–8

Modeling, recommendations, business rule alignment, and merchant review cycles.

Weeks 9–12

Measured outcomes, executive dashboard, scale roadmap, and annual engagement proposal.

Gayatri Pal
Founder credibility

Led by enterprise retail AI experience.

Profinity AI is founded by Gayatri Pal, an AI and Data Science leader with deep experience across retail, pricing, markdown, forecasting, supply chain, and enterprise transformation.


Her background includes leadership roles across Tesco, Target, Walmart, IBM, and applied AI programs spanning retail intelligence, predictive analytics, reliability, optimization, and responsible AI governance.


Why this founder can solve your problem: built by an operator who understands retail unit economics, not a generic AI vendor.