Our Corporate Advisory Approach
Smart Insights works closely with your leadership team to understand your business and identify high-value opportunities. We align analytics and AI with your strategic goals. Our advisors break down complex problems and bring clarity to your most important priorities. We focus on what truly drives efficiency, removes bottlenecks and unlocks hidden value. Every engagement is designed to create measurable progress rooted in your business context. We keep the process simple, structured, and outcome-driven, so that your organization gets the insights and direction needed to achieve its goals with confidence.
Business First, Technology Second
We begin with your goals and challenges. We use technology in ways that match your business needs and context, ensuring every solution is tailored and purposeful.
Insight-Driven Strategy
Our approach to data is simple. We extract clear insights, remove guesswork, and strengthen decision-making. Our advisors help you make confident, evidence-based decisions that move your business forward.
Practical Actionable Solutions
We design solutions that fit naturally into your workflows and that your teams can implement quickly, delivering clear outcomes and measurable ROI.
Collaborative Partnerships
We work closely with your teams and value the expertise they bring. We listen first, understand your context, and shape solutions together. We guide and support you throughout the process, and help amplify the strengths you already have.
Sustainable Capability Enablement
We build capability inside your organization so that progress continues long after the engagement ends. We share our methods openly, strengthen your internal processes, and help your teams gain the confidence to sustain improvements on their own.
What We Offer
Data and Analytics Strategy
We partner with leadership teams to define how data should drive decisions, optimize operations, and support long-term business goals.
Statistical Modelling and Forecasting Solutions
We build sophisticated models that reveal hidden patterns, predict demand, identify risks, enhance planning accuracy, and uncover opportunities for efficiency and growth.
Machine Learning for Business Applications
We design and deploy ML solutions—from classification and segmentation to anomaly detection—that solve real operational and customer challenges
Agentic AI Readiness and Automation Advisory
We design early-stage prototypes and advisory roadmaps for Agentic AI systems that automate tasks, streamline processes, and improve productivity.
Data Quality, Governance & Operational Readiness
We strengthen the foundations required for effective analytics—ensuring your data, processes, and teams are ready for sustained transformation
AI Talent Enablement and Change Management
We help organizations build internal AI capability through tailored training, role alignment, and adoption frameworks that support sustainable transformation.
Why Work With Us
Strategic Insights
We bring strong capabilities in statistical modelling, forecasting, and predictive and generative AI, helping your organization move from intuition to evidence-based decision-making. We focus on your goals, challenges and context first before moving to the appropriate technology. Our recommendations are grounded in rigorous analysis and aligned with your strategic priorities.
Customized Solutions
We avoid one-size-fits-all frameworks. Instead, we design solutions that reflect your operational context, data maturity, and goals. Every engagement delivers clear, actionable steps your teams can implement quickly and sustainably.
Collaborative Partnerships
We work closely with your teams, respect their domain expertise, and co-create solutions that drive long-term adoption. Our approach strengthens internal capability, improves processes, and ensures the benefits continue well beyond our engagement.
Success Stories
Predicting Batch Failures for an International Pharma Manufacturer
Challenge
A global pharmaceutical producer ran a 36-hour manufacturing cycle for each batch. Quality checks occurred only at the end, leading to significant waste when batches failed. The leadership team wanted to predict failures early in the process and understand the root causes.
Our Approach
We applied a combination of time series forecasting and data mining techniques to model batch behavior in real time. By analyzing sensor data and process variables, we identified patterns linked to batch failures and isolated the factors most strongly associated with risk.
Impact
We achieved over 96% accuracy in predicting failure at around 9 hours from when the process started. The insights enabled early intervention, reduced waste, improved process stability, and gave the client clear visibility into the drivers of failure.
Member Segmentation for a Large Dairy Cooperative
Challenge
A major dairy cooperative served an extremely diverse member base—from small farmers with two cows to large operations with more than 10,000 animals. The leadership needed a deeper understanding of member characteristics to design targeted support and engagement programs.
Our Approach
We refined their existing survey instruments and performed exploratory analysis followed by clustering techniques to segment the members into meaningful groups. We identified the defining traits and operational patterns of each cluster.
Impact
Three clear member segments emerged, each with distinct needs and behaviors. The cooperative used these insights to tailor communication, design differentiated programs, and allocate resources more effectively.
Demand Forecasting for an Automobile Parts Manufacturer
Challenge
A leading auto parts manufacturer wanted to forecast demand across 2,300+ SKUs. Daily forecasts were unreliable due to highly intermittent item-level sales. Their existing monthly product-line forecasts carried errors up to 80%, making planning and inventory optimization difficult.
Our Approach
We assessed the data patterns, identified intermittency challenges, and built an ensemble of forecasting models suitable for lumpy and irregular demand. We shifted the forecasting granularity to weekly intervals and modeled product lines rather than individual items.
Impact
Weekly forecasts achieved error rates between 15% and 50%, a dramatic improvement over previous models. The client gained stronger visibility into demand patterns.
Your trusted partner in AI training, consulting and innovation.
Company
Programs
Services
Contact
2026 Artiq Insights Pvt Ltd. All rights reserved.