Build AI capability for personalization, inventory optimization, demand forecasting, and customer service: with privacy protection, ethical pricing, and customer trust as guiding principles.
One-size-fits-all product recommendations and marketing result in low conversion rates, high cart abandonment, and lost revenue from customers who don't find what they need.
→ AI personalization increases conversion 25-35% with privacy-preserving recommendations
Stockouts lose sales; excess inventory ties up capital. Traditional forecasting misses demand shifts, seasonal trends, and local preferences.
→ ML demand forecasting optimizes inventory levels, reducing stockouts 40% and overstock 30%
Customer inquiries spike during promotions and holidays. Hiring seasonal staff is expensive; long wait times frustrate customers and reduce lifetime value.
→ AI agents handle 70% of routine inquiries with human escalation for complex issues
Dynamic pricing maximizes revenue but creates customer backlash when perceived as unfair. Customers lose trust when prices change arbitrarily.
→ Ethical AI pricing balances revenue optimization with customer fairness and transparency
We implement AI systems that enhance customer experience and drive measurable revenue growth
Machine learning analyzes browsing behavior, purchase history, and preferences to recommend products each customer actually wants. Privacy-preserving collaborative filtering maintains customer trust. Generative AI creates personalized product descriptions and email content.
AI predicts demand at SKU-location level using historical sales, seasonality, weather, local events, and market trends. Optimize stock levels, reduce markdowns, and prevent stockouts. Automated replenishment recommendations with override capability.
Generative AI handles order tracking, returns, product questions, and basic troubleshooting 24/7. Natural language understanding routes complex issues to human agents with context. Continuous learning from customer interactions improves responses.
ML optimizes prices based on demand, competition, inventory levels, and customer segments (with fairness constraints). Transparent pricing rules build customer trust. Prevents discriminatory pricing and maintains brand integrity while maximizing revenue.
Mid-market fashion brand | 180 retail locations | $320M annual revenue
Generic product recommendations and mass-market email campaigns resulted in 2.1% conversion rates and 68% cart abandonment. Customers complained that recommendations didn't match their style or size. The brand was losing customers to digitally-native competitors with superior personalization.
We implemented privacy-preserving personalization AI across web, mobile, and email channels. The system learns individual style preferences, size fit patterns, and purchase behavior to deliver tailored recommendations. Generative AI creates personalized product descriptions highlighting features each customer values most.
"Posvo's AI doesn't just increase revenue: it makes shopping better for our customers. They find what they love faster, returns are down, and repeat purchase rates are up 35%. The AI respects customer privacy while delivering the personalized experience they expect from modern retail."
— Chief Digital Officer
Effective personalization without invasive tracking. We use privacy-preserving techniques that maintain customer trust while delivering relevant experiences.
See results in 60-90 days, not 12 months. We start with high-impact use cases that integrate with your existing e-commerce platform and POS systems.
Ethical AI that respects customers. No discriminatory pricing, transparent recommendations, and fair treatment across all customer segments.
Start with a strategic conversation about where AI fits in your retail operations, how to build customer trust through ethical AI, and what outcomes matter most for customer experience and profitability.
Initial consultations are confidential and require no commitment.
A strategic conversation about where organizational intelligence fits in your business, what it should accomplish, and how to build it as lasting capability.