Practical insights on AI, software engineering, automation, and product strategy.
Choosing restaurant software in India in 2026 — POS, KOT flow, aggregator reconciliation, inventory costing — and where the margin leaks actually hide.
What a real estate CRM must do in India in 2026 — lead velocity, site-visit pipelines, inventory-linked selling, RERA-aware documentation — and costs.
What logistics tracking software should actually do in 2026 — driver reality, customer visibility, exception management — with India-specific costs.
How Indian SMBs should choose inventory software in 2026 — the accuracy problem nobody admits, multi-location realities, and honest build-vs-buy math.
Marketplace, cohort, or academy — the three online course models, what each needs technically, and honest 2026 economics for course businesses.
What building a telemedicine platform involves in 2026 — features, costs, Indian regulatory context, and the operational realities that decide success.
The patient engagement features that measurably improve outcomes and revenue in 2026 — reminders, education, feedback loops — and the vanity features to skip.
How AI credit scoring works in 2026 — cash-flow underwriting, alternative signals, explainability — and what lenders should demand from any model.
Why clinic waiting rooms overflow — and the scheduling, queue, and communication systems that actually shorten waits without adding staff.
The LOS features that actually move approval speed and portfolio quality in 2026 — and the ones that look good in demos but rarely get used.
The digital transformation sequence that works for mid-size NBFCs in 2026 — origination first, then collections, then intelligence — with costs and pitfalls.
How to measure whether AI automation actually pays — the value tiers worth counting, holdout testing, vanity metrics that fool smart teams, a worked payback example, and realistic 2026 returns.
