Turn every signal into a sale.

Brands lose $29 on average for every new customer acquired — up from $9 three years ago. Cart abandonment runs $4 trillion globally. Inventory carrying costs consume 20–30% of total stock value annually. We build the systems that close these gaps: demand forecasting, checkout optimization, and retention engines deployed on your existing stack.

$29

Average loss per newly acquired customer (up from $9)

$4T

Lost globally to cart abandonment annually

20–30%

Of inventory value consumed by carrying costs

5–25x

More expensive to acquire vs. retain a customer

The Problem

Most of the loss is invisible until the P&L closes. We make it visible before it compounds.

01

48%

Of abandonment caused by unexpected checkout costs

48% of cart abandonment traces to one fixable cause: unexpected checkout costs

Cart abandonment represents $4 trillion in lost merchandise globally, and most recovery programs recapture about 10%. The leading trigger isn't indecision — it's shipping fees, taxes, and handling charges revealed at checkout that were already known internally. We deploy transparent pricing surfaces and real-time exit-intent interventions that address the specific abandonment trigger for each session. Typical engagement: connect to your existing analytics and checkout flow, identify the top three abandonment causes, and deploy targeted interventions within 4 weeks. Fixed price.

02

$13–20

Cost to process a single return

Returns cost $13–20 each to process — and the root cause is upstream

E-commerce return rates hit 17–25%. Each return costs $13–20 in shipping and inspection, and the item frequently can't be resold at full price. The root cause in most cases: the customer ordered the wrong thing because product data, sizing, or imagery didn't give them enough confidence. We build AI-powered recommendation and fit-prediction systems that reduce return rates at the point of purchase — using your existing product catalog data and return reason codes to target the specific categories driving the highest return volume.

03

30%

Of retail inventory becomes dead stock in 6 months

30% of inventory becomes dead stock within 6 months

A retailer carrying $10M in inventory spends $2–3M per year just to hold it. Overstock and stockout situations cost the global retail industry $1.1 trillion annually. We deploy demand forecasting models trained on your historical sales, seasonality, and channel data — not generic industry models. The system connects to your existing ERP or inventory management platform and produces SKU-level reorder recommendations. Retailers we've worked with see 15–25% reduction in carrying costs within the first two quarters.

What We Build

Specific systems. Your stack. Fixed price.

Checkout Optimization & Recovery

We instrument your checkout flow, identify the specific abandonment triggers in your data, and deploy real-time interventions — transparent cost breakdowns, personalized incentives, and urgency signals calibrated to each session's exit pattern.

Demand Forecasting & Inventory Intelligence

SKU-level demand prediction connected to your ERP. We train on your historical sales, seasonality, promotions, and channel mix — not generic models. The output is actionable reorder recommendations that reduce carrying costs by 15–25%.

Dynamic Pricing Engine

Automated price adjustments based on competitor pricing, demand elasticity, and your margin thresholds. We connect to your product catalog and competitive intelligence feeds and deploy rules you control — no black-box pricing decisions.

Return Reduction System

AI-powered sizing, recommendation, and product-match systems trained on your return reason codes and product catalog. We target the specific product categories driving the highest return volume and cost.

Retention & Personalization Engine

Personalized product recommendations drive 31% of e-commerce revenue. We build recommendation and campaign engines on your customer data that deliver 6x higher transaction rates than broadcast messaging — deployed on your existing email and site infrastructure.

Fulfillment Optimization

Warehouse picking route optimization, carrier selection logic, and delivery window management. We integrate with your WMS and shipping platforms to reduce per-order fulfillment cost while improving delivery speed.

Return on Investment

353% ROI. 30% lower acquisition costs. Measurable within 90 days.

SMBs deploying AI across retail operations report 353% ROI, with 30% reduction in acquisition costs and 20% improvement in conversion. On a $5M e-commerce business, a 20% reduction in inventory carrying costs alone recovers $200K–$300K annually. Every engagement starts with a fixed-scope diagnostic: we connect to your existing systems, identify the highest-impact opportunity, and deliver a working system — not a report. You'll know the ROI before the first invoice.

Ready to start

Let’s talk about your operation.

A 30-minute discovery call costs nothing. We’ll map your biggest operational bottleneck and tell you exactly what’s automatable.

Book a Discovery Call