Case Studies

What we've built

30+ solutions delivered across fashion analytics, AI platforms, and custom intelligence systems.

ML & Engineering solutions

6 core modules

ml_pipeline.py

class TrendPredictor:

def __init__(self, data_source):

self.model = RandomForest(n=500)

def predict_velocity(self, query):

features = self.extract(query)

return self.model.predict(features)

# Accuracy: 94.7%

Training on 2.4M samples...

ML Demand Forecasting

Random Forest model trained on 2.4M fashion queries. Predicts velocity with 94.7% accuracy.

MLForecastingRandom Forest

parser_engine.py

@dataclass

class ProductData:

sku: str

price: float

category: str

def parse_shopee(html):

soup = BeautifulSoup(html)

return ProductData(...)

Parsing 50K products/min

Intelligent Parser Engine

BeautifulSoup-based parser extracting product data from Shopee, Trendyol, and 50+ marketplaces.

ParserBeautifulSoupE-commerce

neural_net.py

class DemandNN(nn.Module):

def __init__(self):

super().__init__()

self.lstm = nn.LSTM(128, 256)

self.attention = MultiHead(8)

def forward(self, x):

out, _ = self.lstm(x)

return self.attention(out)

Epoch 47/100 · loss: 0.023

Neural Network for Demand

Custom LSTM with multi-head attention for 6-week demand prediction at 87% accuracy.

LSTMAttentionDemand Prediction

api_integration.py

async def fetch_trends(platform):

async with aiohttp.ClientSession() as session:

data = await session.get(url)

return process_response(data)

# Supported: Google, Vinted, TikTok, Reddit

API latency: 124ms

Multi-Platform API Integration

Async data fetching from Google, Vinted, TikTok, and Reddit with unified response processing.

APIAsyncIntegration

dashboard_stream.py

def stream_metrics():

while True:

data = kafka_consumer.poll()

yield process_metrics(data)

# Real-time dashboard updates

2.4K req/s 98% uptime

Real-time Dashboard Stream

Kafka-based metrics streaming with live updates. 2.4K requests/sec with 98% uptime.

DashboardKafkaReal-time

recommend.py

class Recommender:

def fit(self, user_data):

self.mf = MatrixFactorization(k=50)

self.cbf = ContentBasedFilter()

def recommend(self, user_id):

return self.ensemble_predict(user)

Precision@10: 0.82

Recommendation Engine

Collaborative filtering and content-based hybrid model for personalized product recommendations.

RecommendationMatrix FactorizationEnsemble

Featured client solutions

6 projects

Turkish E-commerce Platform

+23% catalog optimization

Trendyol Trend Intelligence

Extended analytics platform for Trendyol's fashion catalog. Real-time demand forecasting and trend mapping across 50+ categories.

Fashion AnalyticsDemand ForecastingCustom Platform

Southeast Asian Marketplace

+18% sell-through rate

Shopee Seller Intelligence

Individual analytics dashboard for Shopee sellers. Predictive inventory management and competitor price tracking.

Marketplace AnalyticsInventory ManagementPrice Tracking

American Fashion Label

+34% ROAS

US Brand Marketing Optimization

Custom marketing attribution model linking social signals to sales data. Improved ad spend efficiency by 34%.

Marketing AnalyticsAttribution ModelingSocial Signals

US-based Designer Brand

2x faster design cycle

Catalog Design Intelligence

AI-powered design brief generation. Analyzed 10k+ SKUs and consumer sentiment to suggest next-season color palettes.

Design IntelligenceColor AnalyticsSKU Analysis

Global Logistics Provider

-42% logistics delays

Supply Chain Risk Prediction

Custom ML model predicting supply chain disruptions using weather, port traffic, and supplier data.

Supply ChainML ModelsRisk Prediction

Multi-brand Retailer

-31% overstock

Inventory Optimization Engine

Dynamic inventory rebalancing across 200+ stores using real-time sales data and trend velocity.

Inventory ManagementReal-time AnalyticsRetail Optimization

More solutions

19 projects

AI Customer Support Chatbot

E-commerce Brand

Custom-trained chatbot handling 70% of customer inquiries with 92% resolution rate.

ChatbotsCustomer Support+1

Product Data Platform

Fashion Retailer

Centralized product data hub with automated enrichment and categorization.

Data PlatformProduct Catalog+1

Demand Prediction Model

Supply Chain Company

Custom neural network forecasting demand 6 weeks ahead with 87% accuracy.

ML ModelsForecasting+1

Parsing Engine for Logistics

Freight Forwarder

Intelligent parser extracting shipping data from 50+ carrier APIs.

ParsersLogistics+1

Competitor Intelligence Platform

Retail Brand

Automated monitoring of competitor pricing, promotions, and product launches.

Competitor IntelligenceMarket Monitoring+1

Private LLM for Catalog

Luxury Retailer

Private language model generating product descriptions and translations for 5 markets.

LLMContent Generation+1

Returns Prediction Model

DTC Fashion Brand

ML model predicting return probability by product and customer segment.

ML ModelsReturns Management+1

Manufacturing Quality Monitor

Textile Producer

Computer vision system detecting defects in textile production in real-time.

Computer VisionManufacturing+1

Sales Forecasting Dashboard

Wholesale Distributor

Interactive dashboard with 3-month sales forecasts and anomaly detection.

DashboardForecasting+1

Product Review Analytics

E-commerce Platform

Sentiment analysis pipeline processing 100k+ reviews daily for product insights.

Sentiment AnalysisNLP+1

Custom Pricing Optimization

Retail Chain

Dynamic pricing model optimizing margins and turnover across 500+ SKUs.

PricingOptimization+1

Marketplace Integration Hub

Fashion Brand

Centralized integration with 12 marketplaces for unified inventory management.

IntegrationMarketplace+1

Size & Fit Recommendation

Online Fashion Retailer

ML-based size recommendation reducing returns by 18% using body measurements.

ML ModelsSize Recommendation+1

Trend Forecasting Report

Fashion Agency

Automated trend reports combining search data, social signals, and sales metrics.

Trend ForecastingAutomated Reports+1

Multilingual Chatbot

Telecom Company

Multilingual chatbot handling support in 8 languages with 85% automation rate.

ChatbotsMultilingual+1

Logistics Route Optimization

Delivery Service

AI-powered route planning reducing delivery times by 28% and fuel costs by 15%.

LogisticsRoute Optimization+1

Inventory Health Dashboard

Fashion Group

Real-time inventory health metrics with automated reorder alerts and deadstock detection.

InventoryDashboard+1

Customer Segmentation Model

Beauty Brand

RFM-based segmentation with predictive lifetime value modeling.

Customer SegmentationRFM+1

Product Data Enrichment

Fashion Marketplace

Automated product attribute extraction and enrichment from unstructured data.

Data EnrichmentProduct Data+1

Ready to build your solution?

From fashion analytics to custom AI — we'll design the right solution for your business.

elvin@graspo01.ru franklinbendzamin80@gmail.com business@graspo01.ru