Shiprocket AI

Speech AI and Machine Learning Systems for Commerce

Shiprocket AI is the applied AI/ML team behind Shiprocket Sense, focused on building production-ready models for speech, language, and logistics intelligence.

Our work combines Speech AI, Small Language Models, and predictive machine learning systems to power real-world e-commerce and logistics workflows across India.

We focus on building efficient models that can run reliably in production, supporting millions of commerce transactions and logistics operations.

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Core Focus Areas

Speech AI (TTS & STT)

We are building multilingual Speech AI systems designed for real-world commerce applications such as conversational agents, customer support automation, and voice-driven workflows.

Text-to-Speech (TTS)

Our TTS systems generate natural, expressive speech optimized for real-time conversational systems.

Key areas of development:

• Multilingual speech synthesis for Indian languages
• Low-latency inference for real-time voice agents
• Voice models optimized for customer support interactions
• Efficient training pipelines for large-scale speech datasets
• Accent and dialect adaptation for regional speech patterns

Applications:

• AI voice agents
• Customer support automation
• Conversational commerce
• Logistics communication systems

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Speech-to-Text (STT)

We build robust speech recognition systems designed for noisy real-world environments such as call centers and telephony audio.

Key capabilities:

• Streaming speech recognition
• Code-mixed speech recognition (Hindi-English and other combinations)
• Telephony audio optimized models
• Domain adaptation for logistics and commerce terminology
• Efficient deployment on CPU and GPU environments

Applications:

• Call center transcription
• Conversational AI pipelines
• Voice analytics
• Automated workflow triggers from speech

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Small Language Models (SLMs)

We develop efficient transformer-based language models specialized for commerce and logistics tasks.

Our SLM work focuses on:

• Resource-efficient architectures
• Domain-specific fine-tuning
• Low-latency inference
• High-throughput production deployment

These models support a wide range of NLP applications across the Shiprocket ecosystem.

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AI Systems for E-commerce Operations

Address Intelligence

Indian addresses are highly unstructured and multilingual.
We build NLP systems that extract structured information from raw addresses.

Capabilities include:

• Address entity extraction (NER)
• Address normalization and standardization
• Pincode inference
• Geolocation mapping
• Multilingual address parsing

These systems power address validation and checkout intelligence APIs.

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RTO Prediction (Return to Origin)

Return to Origin (RTO) is a major operational challenge in Indian e-commerce, especially for Cash-on-Delivery (COD) orders.

An RTO occurs when a shipment cannot be delivered and is returned to the seller, resulting in significant logistics costs.

Our RTO prediction models help merchants:

• Identify high-risk orders before shipping
• Reduce failed deliveries
• Minimize logistics losses
• Improve delivery success rates

The models use signals such as:

• Customer behaviour patterns
• Address quality and completeness
• Historical delivery success
• Order characteristics
• Regional delivery trends

By predicting RTO risk in advance, sellers can take actions such as:

• Order confirmation calls
• Switching to prepaid payments
• Address verification
• Courier partner optimization

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Product Understanding

We build machine learning systems that help structure and understand large product catalogs.

Applications include:

• Product category prediction
• Attribute extraction
• Catalog normalization
• Multilingual product understanding

These systems help improve search, discovery, and catalog quality across e-commerce platforms.

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Mission

Our mission is to build practical AI systems that solve real operational problems in commerce.

We focus on:

• Efficient model architectures
• Scalable infrastructure
• Reliable production systems
• Measurable business impact

Instead of pursuing large general-purpose models, we prioritize specialized AI systems that deliver real-world value at scale.

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Learn More

More about Shiprocket Sense:

https://www.shiprocket.in/sense/

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