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AI Virtual Assistants & Chatbots

  • Overview: We create unique voice-based virtual assistants and AI chatbots that automate support, enhance interaction, and customize the user experience across digital touchpoints.
  • Technical Specifics:
  • NLP Engines: Dialogflow, Rasa, BERT, and GPT-3.5/4
  • Languages: Support for multiple languages, including English, German, French, and Spanish
  • Channels: Instagram, Telegram, Facebook Messenger, WhatsApp, and Webchat
  • Voice Integration: Alexa, Siri, and Google Assistant
  • Backend: Node.js, Python (Flask/Django), and RESTful API integration
  • Analytics: sentiment analysis, user journey mapping, and conversation analytics
  • Cloud (AWS, Azure, GCP) and on-premise (if necessary) hosting

Recommendation engines for products

  • Overview: Use intelligent recommendation engines that have been trained on transactional and behavioral data to provide users with highly personalized product recommendations.
  • Algorithms: Neural networks, matrix factorization, and collaborative filtering
  • Frameworks: PyTorch, Scikit-learn, and TensorFlow
  • Data sources include product metadata, ratings, previous orders, and user clickstream.
  • Integration: APIs for Shopify, Magento, and WooCommerce
  • Real-time API: a JSON-based API that provides suggestions in less than 200 milliseconds
  • Dashboard: Using Tableau, Metabase, and Power BI
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Visual Search & Image Recognition Driven by AI

  • Overview: For improved digital commerce, our computer vision solutions enable object recognition, catalog management, and image-based product search.
  • Technical Specifics:
  • Models: Google Vision API, OpenCV, EfficientNet, and YOLOv5
  • Use cases include barcode detection, logo/label recognition, and fashion image tagging.
  • Training: Personalized datasets, edge detection, and optimized CNNs
  • Integration: Web-based visual search bar, Android/iOS mobile SDKs
  • Output: Vector search-indexed results (FAISS, Pinecone)
  • Performance: <300 ms latency, >92% accuracy

Supply Chain Forecasting with AI

  • Overview: Use AI forecasting models to balance inventory, optimize replenishment, and predict demand throughout your supply chain.
  • Forecasting Models: Random Forest, LSTM, Prophet, and ARIMA
  • Frameworks: TensorFlow, Prophet, Statsmodels, and Python
  • Frameworks: Excel integration, TensorFlow, Prophet, and Statsmodels in Python
  • Weather, market trends, sales history, and promotions are examples of inputs.
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Tools for AI Content Creation

  • Overview: With only a few inputs, our AI content tools produce multilingual blog posts, email campaigns, and SEO-optimized product descriptions.
  • Technical Specifics:
  • Base Model: Claude, Cohere, LLaMA2, GPT-4
  • Features include multilingual output, format templates, and tone control.
  • APIs: custom transformer-based content engine, OpenAI API
  • Use cases include newsletters, landing pages, ad copy, and e-commerce.
  • Integration: Shopify, HTML forms, and CMS (WordPress, Webflow)
  • APIs: custom transformer-based content engine, OpenAI API
  • Compliance: includes tools for grammar, plagiarism, and tone analysis

Voice Commerce Systems with AI

  • Overview: Make voice commands available for shopping. Our AI voice commerce solutions enable users to find, add products to their carts,Technical Specifics:
  • Speech Recognition: Amazon Transcribe, Google Speech-to-Text
  • NLU: GPT integration, Rasa NLU, and Dialogflow
  • Languages: Voice input and output in multiple languages
  • Devices: kiosks, smart speakers, and smartphone apps
  • Integration: cart management systems and shopping APIs
  • Security: GDPR-compliant data handling, voiceprint authentication
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Fraud Detection Systems Using AI

  • Overview: Using machine learning models trained on thousands of risk indicators, detect and stop fraudulent activity in real time.
  • Technical Specifics:
  • Models: Autoencoders, XGBoost, Logistic Regression, and Isolation Forest
  • Tech stack: Spark ML, Kafka (real-time stream processing), and Python
  • Features include IP and device fingerprinting, transaction scoring, and user profiling.
  • API: RESTful interface for a real-time scoring engine
  • PCI-DSS, PSD2, and GDPR compliance
  • Dashboard: Risk reports, fraud trend analytics, and alerts