Blog
Practical guides for putting AI to work in operations.
Clear explanations for operations leaders who want to improve real processes without handing control to a black box.
Diagnosis Why AI projects stall before they reach real operations
How a two-day process review can uncover missing data, unclear decisions and edge cases before an automation pilot begins.
Enterprise AI agents: the practical operations guide
How diagnosis, delivery and phased trust fit together in one practical framework.
Read the guide Field guideEcommerce logistics in India: the operations guide
From COD confirmation and NDR recovery through returns, refunds and freight audit.
Explore the field guide
Trust Can you trust an AI agent with your customers?
Guardrails that block what should be blocked, an escalation ladder for money and anger, and an audit log of every move. Trust as a design, not a feeling.
Engineering From historical cases to a running workflow
How diagnostic evidence becomes an executable workflow instead of disappearing in a hand-off.
Buyer's Guide What AI agents actually cost in India
Per-resolution, per-order, seat and outcome pricing — plus the build-vs-buy crossover and the payback math that decides whether it pays back at all.
Engineering Why operational workflows need durable execution
Retries, duplicate events, waiting and partial failure in workflows that run for hours or days.
Support Cut WISMO tickets before they exist
The cheapest ticket is the one never raised. Milestone updates, delay warnings before the promise breaks, and NDR alerts customers actually read.
Engineering Rules, models and operational decisions
Why the entire workflow should not become one prompt, and where model interpretation genuinely helps.
Support Answer "where is my refund?" with a date, not "processing"
Refund tickets spike 2-3× after the festive season. The three clocks behind every refund, and the automation that answers with a date.
Engineering Making fragmented operational systems agree
The difficult integration questions are identity, time, missing facts and which source wins.
Finance Freight audit: the money sitting in your courier invoices
Weight discrepancies are one line item. Zone misclassification, COD remittance delays and duplicate charges — the monthly audit that recovers 1-2% of freight spend.
Engineering Workflow packs keep domain logic out of the runtime
How Proxima stays generic without making every customer start from a blank page.
Logistics When one courier partner stops being enough
Allocation rules by zone, weight and COD value, honest courier scorecards, and the four signals that a second partner is now cheaper than the status quo.
Engineering Inside Proxima's event-to-action runtime
The engineering between an operational event and a completed action.
Logistics The hidden driver of NDR is the address, not the courier
Missing floors, vague landmarks, pin-area mismatches. How address capture, WhatsApp verification and serviceability data cut failed deliveries before dispatch.
Payments Shift COD customers to prepaid without losing them
COD share is the root cause behind much of the RTO problem. Partial COD, honest discounts and trust signals that move buyers up the payment ladder.
Logistics Run customer returns without the quiet bleed
Returns are a separate pipeline from RTO. Reverse pickup failures, QC disputes and refund TAT — where the money leaks, and what fixes it.
Support D2C customer support cost in India: what a ticket really costs
The salary bill is a third of the real number. A way to cost the queue honestly, and to automate the categories that actually stay resolved.
Strategy AI automation for MSMEs in India: where to start
A beginner's guide for the Indian MSME owner. Which process to pick first, what a safe test looks like, realistic budgets, and what to ignore.
Strategy How to choose a courier partner in India
There is no single best courier. The criteria that matter, why serious brands run two to four partners, and the hidden cost of allocation rules nobody maintains.
Comparison AI agent vs chatbot: which one does an operations team actually need?
A chatbot talks, an agent acts. Where each fits, where chatbots fail on multi-step ops work, and how to decide before you spend.
Logistics Festive season logistics: start the checklist in August
Diwali volume doubles daily parcels and temp hiring breaks first. The August-timed readiness checklist: capacity, COD coverage, NDR response.
Support WISMO tickets: automate 'where is my order' without losing the customer
WISMO is the largest ticket category in D2C support, and most of it is answerable from courier scan data you already have. How to automate the answer and keep humans on the hard cases.
Logistics Auditing courier weight discrepancies in India
Billed vs actual weight is a recoverable leak. How discrepancies arise, how to audit them line by line, and what a checking agent can file for you.
Logistics Confirm COD orders on WhatsApp before they become RTO
Why the five minutes after a COD order decide a large share of RTO, and how a WhatsApp confirmation flow works inside consent and DPDP rules.
Logistics NDR management: recovering failed deliveries before they become RTO
15-20% of Indian e-commerce orders generate an NDR. What good recovery looks like in the hours before the courier gives up and ships the parcel back.
Logistics How to reduce RTO in Indian e-commerce
COD-heavy categories run 20–40% RTO. Where the ₹150–₹250 per parcel goes, and the fixes that work without blocking genuine buyers.
Logistics How to reduce shipment exceptions without adding headcount
Why exceptions quietly eat follow-up hours and margin. A four-step way to bring them down with the team you already have.
Comparison RPA vs AI agents: what actually changes for operations teams
Keep what RPA does well. See where it breaks. Use one trust model to judge either technology.
Strategy When your AI partner needs to work alongside your team
Why engineers and domain specialists learn the process with your operators before building automation.
Trust Model How to give AI more responsibility without losing control
A four-step approach: understand the work, suggest without acting, ask people to approve, then automate only what has proved safe.