Powered by MiMo V2.5 Pro

AI That Predicts What Your Customers Want Next

Product recommendations, demand forecasting, and customer insights โ€” powered by MiMo's reasoning engine. Turn browsers into buyers.

$2.4B
GMV Processed
34%
Conversion Lift
12K
Products Analyzed
94%
Demand Accuracy

AI Product Insights

See how MiMo analyzes your catalog and predicts demand

$89.99
Optimal Price
+42%
Demand Trend
2,340
Est. Monthly Units
$187K
Est. Revenue
๐Ÿงฅ

Down Puffer Jacket

$89.99
Demand: +52% | Margin: 44% | Stock: 890
๐Ÿงฃ

Merino Wool Scarf

$34.99
Demand: +38% | Margin: 62% | Stock: 1,240
๐Ÿงค

Leather Gloves

$29.99
Demand: +67% | Margin: 58% | Stock: 320

๐Ÿ“ˆ Demand Trend (Next 30 Days)

๐Ÿง  MiMo V2.5 Pro๐Ÿ“Š 12 signals analyzedโšก 23ms

Retail Intelligence

AI-powered tools for modern e-commerce

๐ŸŽฏ

Smart Recommendations

Personalized product suggestions based on browsing behavior, purchase history, and real-time trends.

๐Ÿ“ˆ

Demand Forecasting

Predict demand 30-90 days out with 94% accuracy. Seasonal trends, weather, and event data included.

๐Ÿ’ฐ

Dynamic Pricing

Auto-optimize prices based on competition, demand, margin targets, and inventory levels.

๐Ÿ“ฆ

Inventory Optimization

Right-size stock levels. Reduce overstock by 35% and stockouts by 78%.

๐Ÿ‘ค

Customer Segmentation

Auto-cluster customers by behavior. Target campaigns with 3x higher ROI.

๐Ÿ›’

Cart Recovery

Predict abandonment risk and trigger personalized recovery offers in real-time.

Driving Revenue

Retailers seeing results

Fashion

Online Fashion Retail

Seasonal demand forecasting + personalized recommendations for a 50K SKU catalog.

34%
Conversion โ†‘
$4.2M
Revenue added
28%
Less overstock
Grocery

Online Grocery

Demand prediction for perishable goods. Reduce waste while maintaining 99.5% fill rate.

42%
Less waste
99.5%
Fill rate
$1.8M
Saved/year
Electronics

Consumer Electronics

Dynamic pricing + inventory optimization for high-value electronics catalog.

18%
Margin โ†‘
78%
Less stockouts
$8.4M
GMV added

How It Works

1

Connect

Link your store, catalog, analytics

2

Analyze

MiMo reads 12+ data signals

3

Predict

Demand, pricing, segments

4

Act

Auto-optimize or get recommendations

# MiMo Retail โ€” Python SDK
from mimo_retail import RetailAI

ai = RetailAI(api_key="mrk-...")

forecast = ai.forecast("SKU-1234", days=30)
print(forecast.demand) # 2,340 units
print(forecast.price) # $89.99 optimal
print(forecast.trend) # +42% upward