The number that changed, and how
Client names are withheld where the work touches production, pricing or patient data — which is most of it. Everything else is exactly as it happened, including the projects where the most valuable finding was an error in the process we were replacing.
Four hours of manual EOD reporting to zero
Integrated cement group, Eastern India
The situation
Each plant produced its end-of-day report by hand — a person exporting from the historian, keying figures into a spreadsheet that had evolved over years, and emailing the result mid-morning. Three plants, three formats, and no way to reconstruct where a challenged figure came from.
What we did
Two days on site per plant for tag and report inventory, then AURA configured to read OPC tags read-only, apply their formulae, aggregate by shift and day, and publish their exact Excel template to the LAN drive. Parallel run against the manual process for five weeks.
Three people re-typing orders, replaced by twenty minutes of exception handling
Industrial distributor, Howrah
The situation
Orders arrived by email, WhatsApp and phone, and three people re-typed them into Tally — frequently until nine at night. Pricing errors ran to several lakh a year because a nine-tier price list was applied by hand.
What we did
A costed process map ranked every process by hours consumed and money leaked. Order capture and dispatch came first: multi-channel intake, a pricing engine with the real slab and scheme logic, credit checks, and direct Tally integration with reconciliation reporting.
Same traffic, same ads, conversion from 1.1% to 1.9%
Home and living D2C brand, Kolkata
The situation
A bought Shopify theme carrying eleven apps, a 4.2-second mobile LCP, and attribution that disagreed with the bank account. The team was optimising spend against numbers that were quietly wrong.
What we did
App audit with a written verdict on each, then a headless Next.js storefront on Shopify with an image pipeline, a real search index, and a server-side event layer feeding a warehouse where cohort, LTV and contribution margin could be computed honestly.
A section running 5 points below yield for a year, found in six weeks
Rerolling mill, Durgapur belt
The situation
Yield was reported monthly as a single aggregate around 94%. Nobody could attribute loss to a section, a shift or a cause, so improvement conversations were general rather than specific.
What we did
Heat-level identity captured at existing material-handling points, yield decomposed into melting, casting, scale, crop and finishing, and each component attributed by shift, grade and section. Specific energy added at heat level with time-of-day tariffs applied.
Fourteen months without missing a tender notice
EPC contractor, Kolkata
The situation
Two people checked government and PSU portals every morning and still missed notices — which in this business means missing a quarter. Dozens of portals, no common format, short response windows.
What we did
A monitored collection system across the portal set with strict field validation, per-field fill-rate alerting, document retrieval with text extraction, and a deduplicated structured digest delivered before 07:00 each day.
Supplier invoices: 94% straight through, 20 minutes of review a day
Distribution group, Kolkata
The situation
Two people spent most of the working day keying supplier invoices into the accounting system. Volumes were growing and the next step was a third hire.
What we did
A document intelligence workflow with a 150-case evaluation set built before any implementation. Extraction, validation against master data and GSTIN checks, confidence thresholds routing uncertain cases to a human, and every decision logged against the source document.
We record a baseline before we build
Improvement that was never measured against a starting point is an assertion. Every figure on this page has a before as well as an after.
They ran our new pipelines alongside the old ones for six weeks and found four places where our existing reports had been quietly wrong for years. That alone was worth the project.
We knew our yield was around 94 per cent. What we did not know was that one section on night shift was running at 89, and had been for a year. Finding that paid for the entire system.
We had two people checking tender portals every morning and still missed things. Now we get a structured digest at 7 AM with attachments, and we have not missed a notice in fourteen months.
How to read any agency portfolio, including this one
Portfolios are marketing documents and should be read as such, ours included. Every agency shows its best work, describes its role generously, and quotes the most flattering number available. Knowing what to probe turns a portfolio from a sales asset into genuinely useful evidence.
Ask what the supplier actually did on each project. A great deal of showcased work involved a team of five of whom the agency supplied one, and the case study will not distinguish. Ask who else was involved and what they contributed. Ask when it was built, because a site shipped in 2019 tells you little about a team that has turned over twice since.
Probe the numbers hardest. A claim that a redesign increased conversions by a large percentage is meaningless without the baseline, the period, and what else changed — if a new advertising campaign launched the same month, the site may have contributed little. Reputable suppliers can tell you what was measured and how. Ask whether the improvement held twelve months later, because a great many launch-week gains do not.
Then ask for a client who will speak to you, ideally one whose project had a difficulty. Every long-running supplier has projects that went wrong; a supplier who claims otherwise has either not been doing this long or is not being straight with you. What matters is what they did about it, and the client is the only reliable source for that. We will give you those numbers, including the projects where the honest answer is that the client did the hard part and we built what they specified.
Six questions for any portfolio
- What exactly did the supplier do, and who else was on the team?
- When was it built, and is that team still in place?
- What is the baseline behind every percentage quoted?
- What else changed in the same period that could explain the result?
- Did the improvement hold a year later?
- Can you speak to a client whose project hit a difficulty?
Rated 4.7 out of 5 across 64 reviews
Verified on Google Business Profile
Enquiries now arrive with specifications already attached
Our previous website had a stock photograph and a paragraph about commitment to quality. It brought us nothing in four years. Sayak spent two days on our shop floor before drawing anything, and what they built lists our machine capacities, tolerance ranges and certifications in a way a purchasing officer can actually evaluate. The change was not in the number of enquiries so much as in their quality — people now call having already decided we can do the job, so the conversation starts at commercial terms.
They talked us out of half of what we asked for
We went in with a long list of features we were certain we needed. They built roughly half of it and explained clearly why the rest would be maintained forever and used by nobody. Six months on they were right about every item. The store is fast on phones, which matters because that is where almost all of our traffic comes from, and our team updates the catalogue ourselves without calling anyone.
Parallel running for a full month meant nobody had to trust it blind
Replacing a system a clinic depends on is frightening, and most vendors we spoke to proposed a weekend cutover. Sayak ran the new system alongside our registers for a full month and only switched once the numbers matched every day. Our front desk staff were part of the design rather than being trained at the end, which is why they actually use it. Report preparation that took a person most of a morning now takes minutes.
Tell us the number you want to change.
Enquiries per month, days to close month-end, hours of manual entry, cost per tonne. If you can name it, we can usually tell you within a call whether it is addressable and roughly what it takes.
Direct line
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