Software Development for Pune Businesses

Built for manufacturers who have outgrown their spreadsheets.

Pune, Maharashtra

EasyWork Solutions builds ERP, production tracking and automation software for manufacturing and engineering businesses in and around Pune. Our background is in serving Gujarat's manufacturing base, and the underlying problems in Pimpri-Chinchwad and Chakan are recognisably the same ones.

In short

EasyWork Solutions builds ERP, production tracking and automation software for Pune manufacturers, particularly tier-two and tier-three automotive suppliers. Its approach is phased rather than big-bang: the module with the worst operational pain goes live in eight to ten weeks, and later modules are designed against what the first one taught, rather than against a plan written a year earlier.

Pune at a glance

Base of operations
Surat, Gujarat — remote delivery with travel to Pune for discovery, training and major reviews
Delivery approach
Phased rollout, highest-pain module first, typically live in 8 to 10 weeks
Registered entity
Easywork Solutions Private Limited, founded 2019
Automotive supply-chain focus
Customer schedules driving production plans, batch traceability for recall, OEM-mandated data exchange
Position on Tally
We do not replace it. We build the operational layer and integrate so data is not typed twice
Sector focus
Automotive and auto components, engineering, manufacturing, IT services, education

Automotive supply chain requirements

Pune's automotive cluster means many businesses here are tier-two or tier-three suppliers, and that shapes the software requirement in specific ways. Your customer's schedule drives your production plan. Traceability is not optional because a recall has to be traced to a batch. And your OEM customer may mandate how you exchange data with them.

Software that ignores this — and most generic ERP does — pushes the work back onto a person maintaining a parallel spreadsheet, which is exactly the thing the system was bought to eliminate.

The scheduling point is the one most often underestimated. A tier-two supplier does not plan production from its own order book; it plans from a rolling schedule the customer revises, sometimes weekly. A system that models firm orders but not a revisable forecast cannot support planning, so planning continues to happen in Excel and the ERP becomes a data-entry obligation.

Starting with one module, not the whole plant

The most common way ERP fails at this scale is scope. A twelve-month implementation covering every department is a long time with no benefit and a lot of opportunity for the requirement to drift.

We phase it: pick the module where the pain is worst — usually production tracking or inventory — get it live in eight to ten weeks, let people use it, and build the next one against what you learned. Slower on paper, considerably faster to actual value.

There is a second, less obvious benefit. The first module is where your team learns what they actually want, and they are invariably wrong about some of it beforehand. Discovering that in week ten, on one module, is cheap. Discovering it in month eleven across six departments is the reason large implementations get abandoned and quietly replaced with the spreadsheets they were meant to retire.

Traceability that would survive a recall

Recall traceability is a requirement most suppliers can technically claim and few can actually execute quickly. The real test is not whether records exist but how long it takes to answer a bounded question: which finished parts contain material from this heat number or this supplier lot, and where did they ship.

If that answer takes three days of assembling registers, the practical consequence during an incident is that you quarantine far more than necessary, because you cannot prove which parts are unaffected. The cost difference between a precise recall and a defensive one is normally an order of magnitude larger than the cost of the system.

Making it work means capturing the links as production happens rather than reconstructing them afterwards: incoming lot to batch, batch to operation, operation to finished part, finished part to dispatch. Each link is trivial on its own. The value is entirely in none of them being missing.

Shop-floor data capture people will actually do

Every production tracking system depends on operators recording what happened, and this is where most of them quietly fail. If capture takes a minute per entry, requires walking to a terminal, or asks for information the operator does not have, it will be batched up and filled in later from memory. At that point the data is fiction and the reports built on it are worse than useless.

The design constraints are unglamorous and decisive. Capture has to happen where the work happens, take seconds rather than minutes, tolerate gloves and poor lighting, work when the network drops, and never block production when the system is unavailable.

In practice that means barcode or QR scanning over typing, a small number of large touch targets over dense forms, sensible defaults derived from the current job, and offline capture that syncs when connectivity returns. Getting this right matters more to whether the project succeeds than any reporting feature, and it is usually decided by watching a shift rather than by discussing requirements in a meeting room.

Living with the systems you already have

Nobody in Pune manufacturing is starting from nothing. There is Tally for accounts, probably a customer portal you are required to use, possibly a legacy production system, and certainly a set of spreadsheets that encode real business logic nobody has written down.

The right approach is rarely replacement. Tally does accounting well and your CA knows it; replacing working accounting software creates disruption for no operational gain. We build the operational layer — production, inventory, dispatch, quality — and integrate so figures move across without being re-keyed.

The spreadsheets deserve more respect than they usually get. A sheet that has survived five years contains genuine business rules, including the exceptions. We read them properly during discovery rather than dismissing them, because the fastest route to a system nobody uses is to replace a working spreadsheet with something that handles the standard case and none of the exceptions.

What drives the cost of a Pune project

We do not publish a price list, because a number given before understanding the work is a guess someone pays for later. These are the factors that actually move the figure — worth knowing before you compare quotes.

  • Number of operations and routings

    A short, stable routing is quick to model. Many operations with alternative routings, sub-contracted steps and rework loops is proportionally more design, build and testing.

  • Whether shop-floor capture is in scope

    Reporting from data entered in an office is one thing. Reliable capture at the machine — scanning, offline tolerance, ruggedised flow — is a distinct piece of work and the one that decides whether the data is trustworthy.

  • OEM-mandated data exchange

    Where a customer specifies a format or portal, the integration effort depends entirely on what they expose. We check this first rather than last, because it can be trivial or it can dominate the project.

  • Depth of traceability required

    Batch-level records cost less than full lot-level genealogy. Which you need is a recall-exposure question rather than a technical preference, and it is worth deciding deliberately.

  • How many phases you want live in year one

    Each additional module is separate scope. Phasing does not reduce the total, but it moves benefit forward and materially reduces the risk of the whole thing being abandoned.

Industries we build for in Pune

  • Automotive & auto components
  • Engineering
  • Manufacturing
  • IT services
  • Education

Work we have actually shipped

Export CRM

Our ERP and CRM platform covering order tracking, production planning, documentation and financial reporting for the export trade — the production-stage modelling maps directly onto multi-operation manufacturing.

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SmartInvento

Cloud inventory system with real-time stock, multi-warehouse handling, barcode generation and role-based access, built and operated as a product rather than delivered once.

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EasyWork HRMS

Attendance, payroll, leave and employee records with role-based access — relevant on the shop floor, where attendance and shift data feed production costing.

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Greenstrix

Industrial product website for a packaging materials exporter, structured around technical specification — the same presentation problem component manufacturers face with new customers.

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How a Pune project runs

  1. Watch a shift before designing anything

    We come to Pune and observe production as it runs, including the exceptions and the workarounds. Shop-floor requirements gathered in a meeting room are consistently wrong in the same ways.

  2. Pick the highest-pain module

    We identify where the current process costs the most and scope that alone, targeting go-live in eight to ten weeks rather than proposing a full plant rollout.

  3. Check OEM and customer interfaces early

    Whatever your customer mandates for data exchange is established at the start, because it can be a small integration or it can be the largest single piece of the project.

  4. Design capture for the operator

    Scanning over typing, large targets, defaults from the current job, offline tolerance, and never blocking production if the system is down. This decides whether the data is real.

  5. Integrate rather than replace

    Tally stays. We build the operational layer and connect it so figures are not re-keyed, and we read your existing spreadsheets properly rather than discarding the rules inside them.

  6. Review, then scope the next phase

    After the first module has been in real use for a few weeks we scope the next against what was learned, not against the assumptions held before anyone had used anything.

What you get on every project

  • A written scope with fixed milestones before any development starts — no open-ended hourly billing.
  • A staging URL you can check at any time, so progress is visible rather than reported.
  • One named point of contact, not a ticket queue.
  • Full source code, design files and hosting credentials transferred to you on final payment.
  • No lock-in: nothing we build depends on us continuing to host or maintain it.

How to evaluate a software company in Pune

These are the questions worth asking any vendor bidding for your work, ourselves included. A firm that answers them directly is telling you more than a client logo wall does.

  • Ask how the system handles a customer schedule that gets revised weekly. If it only models firm orders, your planning will stay in Excel.
  • Ask to see shop-floor capture demonstrated as an operator would use it, not as an office user would. Wearing gloves, in a hurry, with the network down.
  • Ask how long a backward trace takes: from a finished part to the incoming material lot. Time it in the demo rather than accepting that the capability exists.
  • Be wary of any proposal to go live across all departments simultaneously. Phased delivery is slower on paper and far more likely to finish.
  • Ask what happens to your existing spreadsheets. A vendor who dismisses them has not understood that they contain the exceptions your business actually runs on.

Pune questions

Can your software integrate with our OEM customer systems?

Usually yes, depending on what they expose. We have built integrations against REST APIs, SFTP file exchanges and flat-file formats. The practical constraint is what your customer supports, so that is the first thing we check rather than the last.

We already use Tally. Will this replace it?

No, and it should not. Tally does accounting well and your CA knows it. We build the operational layer — production, inventory, dispatch — and integrate so data flows across without being typed twice. Replacing working accounting software is rarely worth the disruption.

How long does a production tracking system take?

A single module covering production stages and job tracking is typically 8 to 10 weeks including data migration and training. A full ERP across production, stock, sales and finance is a phased 6 to 12 months, and we would strongly advise phasing it.

Can the system work with a customer schedule that changes weekly?

Yes, and it needs to. We model a revisable rolling schedule alongside firm orders, so planning can run off what your customer actually sends rather than off a fixed order book. Systems that handle only firm orders are the main reason planning stays in Excel at tier-two suppliers.

How do operators record production on the shop floor?

By scanning wherever possible, on screens with large targets and defaults drawn from the current job, designed to work with gloves and poor lighting, and to keep working when the network drops by syncing later. If capture takes more than a few seconds it gets filled in from memory at the end of a shift, and the data becomes fiction.

How fast can we trace a batch during a quality issue?

The target is minutes, not days — finished part to operation to batch to incoming lot, in both directions. That is achievable only if the links are captured as production happens. It is the difference between recalling what is genuinely affected and quarantining everything you cannot rule out.

What about the spreadsheets our team relies on?

We read them during discovery rather than replacing them blind. A sheet that has been maintained for years encodes real business rules including the exceptions, and the fastest way to build a system nobody uses is to cover the standard case and none of them.

Do you visit Pune during the project?

Yes — for discovery, for user training and for major reviews. Shop-floor work in particular is not something we would attempt to specify remotely. Day-to-day development then runs against a staging environment you can access at any time.

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