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Earn More, Sell Less: Find Your Niche in the $90B Tea Market with AI Introduction Are your export volumes up but profits flat? You're competing on price, not value. The way to win is to stop selling more and start earning more. This means finding high-profit niches that will pay a premium for your product. Finding these markets used […]
Catch Sales Anomalies Before They Cost You Introduction: Why Retailers Can’t Ignore Anomalies Retail is one of the most dynamic industries. Every day, small shifts ripple across stores , a product’s demand doubles overnight, another suddenly stops selling, discounts flop, or higher prices boost sales. For managers, these swings can seem random, but they’re not. […]
The AI Playbook: From Raw Data to Go-to-Market Strategy in Under an Hour In today's world, data is the new gold. But much like gold, its raw form isn't very useful. It needs to be mined, refined, and crafted into something of value. The real challenge lies in turning mountains of data into a clear, […]
Cracking the Code: Market & Competitor Insights for FMCG Warehouses Introduction In FMCG, market success is won (or lost) in the last mile: competitive intensity around each warehouse, the distribution reach to retail, and how reliably product moves from hubs to shelves. This post shows how Terno AI turns the Noodles warehouse dataset into market […]
AI that Understands FMCG: Smarter Product Classification & Recommendations The world of Fast-Moving Consumer Goods (FMCG) is defined by large product catalogs, diverse price points, and fierce brand competition. For online retailers like BigBasket, efficiently organizing, classifying, and recommending products isn’t just a technical challenge—it’s a business necessity. In this blog, we’ll explore how Terno […]
BigBasket’s Beauty & Hygiene Decoded with Terno AI Introduction The Indian online retail sector is expanding at a remarkable pace, and FMCG (Fast-Moving Consumer Goods) plays a central role in this growth. Among these, Beauty & Hygiene products represent one of the most diverse and competitive categories, with a mix of mass-market essentials and premium […]
Walmart's Billion-Dollar Secrets: A Data Detective Story What if a spreadsheet could tell you a story? Not a boring one with charts and graphs, but a detective story, complete with red herrings, plot twists, and a billion-dollar payoff. That's exactly what we found when we opened the case file on Walmart's public sales data. Armed […]
From Data Dumpster to Sales Supercharger: A 5-Step Adventure in AI In e-commerce, raw data is like lead: heavy, chaotic, and seemingly worthless. But what if you could turn it into gold? This isn't a theoretical guide; it's a real-world chronicle of data alchemy. We took the messy "Big Basket Products Dataset" from Kaggle and, […]
AI at Work: Transforming FMCG Warehouse Performance Introduction In the FMCG (Fast-Moving Consumer Goods) industry, warehouses form the backbone of supply chain efficiency. For companies dealing with massive product throughput — such as food staples like noodles — warehouse performance directly impacts on-time deliveries, product availability, and customer satisfaction. Traditional supply chain analytics often focus
Unlocking Market Insights in FMCG Using Terno AI Introduction Fast-Moving Consumer Goods (FMCG) is one of the most dynamic industries, driven by constantly evolving consumer behavior, pricing strategies, and product positioning. For FMCG brands, understanding where and how a product is positioned in the market is often the difference between becoming a bestseller or fading […]
Understanding Key Factors Affecting Health Insurance Premium Using Terno AI Are You Paying Too Much for Insurance? A Data-Driven Look Ever wondered why your insurance bill looks the way it does? In this study, we set out to uncover how different demographic and personal factors—like age, lifestyle, and income—impact insurance charges. The goal is simple: […]
Credit Risk Analysis: Predict If A Credit Card Holder Will Pay Dues On Time Using Terno AI Overview Credit card companies need to decide whether to approve credit card requests from a new customer. But since doing a hard check affects the credit score of the customer, they are not willing to do that. We […]
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