Patterns we have seen, methods we use, and what tends to ship versus what tends to stall. For operators in retail, consumer goods, manufacturing, and D2C.
What a mid-sized Indian retailer can actually see and decide once store-level and SKU-level data finally sits in one place.
Read the article →The analytics a mid-market Indian consumer goods company needs across primary and secondary sales, in plain commercial terms.
Read the article →How to decide which products to push, at what price, in which channel, without giving away the margin you are trying to grow.
Read the article →The mid-market case for swapping recurring BI licence costs for decision-support dashboards built on a free stack, once and yours.
Read the article →The concrete AI use cases an Indian retail or consumer goods company can put into production this quarter, without the hype.
Read the article →Where agentic automation earns its keep in a commercial and operations function, and where it does not.
Read the article →When a ₹500 to ₹5000 crore company should bring in analytics help, and what a good engagement actually delivers.
Read the article →What strategy and commercial consulting looks like when the analysis is the deliverable, not the slide deck around it.
Read the article →A natural-language layer over your business data, so the people who need an answer can ask for it in plain English and get it.
Read the article →The two largest pools of trapped cash in most Indian businesses are receivables and inventory. Analytics is how you free them.
Read the article →Four numbers a CFO should know about trade promotion spend. The real math behind each, what the answers usually look like, and what changes when a brand starts measuring honestly.
Read the article →An honest comparison of Power BI, Tableau, Looker, Metabase, Superset, and Domo for Indian mid-market businesses. The right pick depends on your stack, your team, and your budget. Here is how to choose.
Read the article →Consulting and agency are two very different models, often confused when buying AI work. Here is the honest distinction, what each is built for, and the cleanest way to pick.
Read the article →Dozens of AI tools get pitched at CPG companies every quarter. Most do not ship. Here is the operator's shortlist, organised by where in the stack each tool actually lives, and the build, buy, or partner call for each.
Read the article →Pricing is the highest-leverage decision a retail business makes. Most Indian retail brands make it badly because they confuse competitive pricing with strategic pricing. Here is what an honest audit looks like.
Read the article →When do you hire McKinsey, BCG, or Deloitte. When do you hire a senior boutique. When do you build in-house. When do you use an offshore vendor. An honest matrix from the buyer's seat.
Read the article →Collections is one of the rare AI patterns that pays for itself in six months. Here is what a working agent actually does, the typical impact, and the three places most builds quietly stall.
Read the article →Most Indian consumer goods companies forecast demand with rules of thumb. The forecast is rarely wrong by less than 30 percent. Here is what a working forecast looks like, why it ships in six weeks, and where teams usually get stuck.
Read the article →Most Indian consumer brands spend 10 to 20 percent of revenue on trade promotions. Most cannot tell you which schemes paid back, and which just shifted volume forward. Here is what a working measurement approach looks like.
Read the article →AI in retail is not one thing. It is a small number of repeatable patterns. Here is which ones land in weeks, which ones land in months, and which ones rarely land at all.
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