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Decide and act with conviction by leveraging Data Science

See how Tiger Analytics’ Data Science and Machine Learning expertise helps build customized business solutions

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AI for augmented and autonomous decision making

Building reliable AI/ML decisioning systems needs algorithms to understand specific business contexts, train on the right data, update themselves in real-time, learn from prior experiences and any humans in the loop. To enable this, a collaboration of multiple disciplines and cross-functional capabilities is necessary.

We bring together these capabilities to make AI a valuable tool for decision making across several functions. We build solutions ranging from fully autonomous real-time decisioning systems to predictive intelligence for augmenting human decisions.

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What we do

Predictive ML

Leverage structured and unstructured data to predict future events – trends, pricing decisions, fraud risk, customer attrition etc.

Forecasting

Drive superior operations and planning through demand forecasting, cost planning, granular sales, shipment forecasting etc.

Autonomous systems

New age algorithms tht operate without human intervention – e.g. real-time bidding, IoT sensor data-based activity, recommender systems, advertising interventions.

Optimization

Achieve optimal revenue, margin, or cost by choosing the right inputs under a given framework of constraints – inventory management, resource optimization, scheduling, auctions, logistics, distribution, etc.

How we design ML solutions for businesses

Building custom AI/ML solutions is a collaborative exercise with business stakeholders, client technical teams, operational users, end customers, etc. While the exact approach differs by the business problem and context, the considerations remain consistent.

At Tiger Analytics, we leverage our expertise in data science and ML to support businesses in real-time decision-making.

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Why choose us?

A product-centric approach to solution development
Speed to value using Open IP Solutions
Quality and consistency assured by TigerML accelerators
Domain-specific approaches and data assets

Customer stories

AI boosts call center for Fortune 100 P&C insurance provider
AI boosts call center for Fortune 100 P&C insurance provider
Tiger Analytics implemented Machine Learning (ML) models for call quality assessment and customer intent prediction.
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Data analytics platform increases sales for auto distributor
Data analytics platform increases sales for auto distributor
Tiger Analytics implemented a Data Analytics Platform (DAP) and a Data Experience Platform (DXP).
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Fortune100 F&B boosts chip quality, cuts effort by 75% with deep learning
Fortune100 F&B boosts chip quality, cuts effort by 75% with...
Tiger Analytics used deep learning CV for optimal potato peeling, improving chip quality and real-time plant efficiency.
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AI boosts call center for Fortune 100 P&C insurance provider
AI boosts call center for Fortune 100 P&C insurance provider
Tiger Analytics implemented Machine Learning (ML) models for call quality assessment and customer intent prediction.
Readshp-arrow-topright-large
Data analytics platform increases sales for auto distributor
Data analytics platform increases sales for auto distributor
Tiger Analytics implemented a Data Analytics Platform (DAP) and a Data Experience Platform (DXP).
Readshp-arrow-topright-large
Fortune100 F&B boosts chip quality, cuts effort by 75% with deep learning
Fortune100 F&B boosts chip quality, cuts effort by 75% with...
Tiger Analytics used deep learning CV for optimal potato peeling, improving chip quality and real-time plant efficiency.
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