Export CRM
Our production and export ERP with stage tracking, documentation and financial reporting — the closest of our own products to the stage-and-record modelling that process manufacturing requires.
Visit siteVadodara, Gujarat
EasyWork Solutions builds custom software, web applications and automation for businesses in Vadodara. The city's chemical, pharmaceutical and heavy engineering base brings a specific kind of requirement — batch processes, safety documentation and traceability — where getting the underlying data model right matters far more than how the screens look.
EasyWork Solutions serves Vadodara from Surat, around two and a half hours away, building custom software and automation for the city's chemical, pharmaceutical, heavy engineering and energy businesses. Its focus in this market is process manufacturing: batch genealogy, variable yields, by-products and records that remain defensible years later — requirements that software designed for discrete unit manufacturing cannot represent.
Discrete manufacturing counts units. Process manufacturing deals in batches, yields, and outputs that vary from the same inputs. Software built for the first does not adapt to the second: you cannot represent a batch that produced 940 kg of product and 60 kg of by-product using a bill of materials designed for assembling ten identical widgets.
Getting this wrong is expensive because it is structural. It is the main reason we insist on modelling the data before designing any screens on process-industry projects.
The specific things that have to be representable are consistent across the sector: a formula rather than a fixed BOM, expected versus actual yield with an explanation for the variance, co-products and by-products carrying their own value, and potency or concentration adjustments where the same nominal material varies batch to batch. A system that cannot express those forces a parallel spreadsheet, and the spreadsheet becomes the real record.
Chemical and pharmaceutical operations generate records that may be examined by a regulator, an auditor or an insurer years later. That imposes real constraints: records that cannot be silently edited, a change history showing who altered what and when, and export formats that remain readable independently of the software.
These are ordinary engineering requirements once identified — and a serious problem when discovered after go-live.
The last of those is the one people forget. A record you can only read inside the application is a record that becomes inaccessible the day you change vendor. We build exports in formats that stand alone, because a compliance record whose readability depends on our continued existence is not much of a record.
The question a regulator or a customer actually asks is directional. Forward: this raw material lot turned out to be contaminated, where did it go? Backward: this batch failed at the customer, what went into it and what else shares that history?
Answering either in minutes rather than days is entirely a function of whether the links were captured at the time. Retrofitting genealogy is close to impossible, because the information you need was never recorded — which is why we design the schema around it from the start rather than treating traceability as a reporting feature.
It is worth being clear about the commercial stakes. Without genealogy, a contamination issue means recalling everything you cannot rule out. With it, you recall what is actually affected. The difference between those two numbers usually dwarfs the cost of the system.
Most Vadodara plants already run something at the control layer — a SCADA system, a historian, a LIMS in the quality lab. The right integration boundary is usually clear once stated: those systems own real-time control and measurement; the business system owns batches, materials, costs and records.
Where they expose a documented interface — a database view, an OPC endpoint, a scheduled file export — we read from it and avoid double entry. Where they do not, we say so plainly and design a manual entry step rather than quoting for an integration that will be fragile. An unreliable automatic feed is worse than an honest manual one, because people stop noticing when it silently stops.
What we do not do is modify control systems. That is specialist, safety-relevant work and it rightly belongs with your automation vendor.
Chemical operations in Vadodara carry documentation obligations that go beyond production: material safety data, hazardous waste manifests, incident and near-miss records, permit-to-work for maintenance, and consent-condition monitoring returns.
These usually live in a mixture of registers, shared folders and one engineer's laptop. Consolidating them is rarely the project anyone starts with, and it is frequently the module that delivers the fastest visible benefit, because the alternative is a person spending two days assembling a return that the system could produce in a minute.
The requirement pattern is the same as production traceability: capture at the point of occurrence, make it non-editable afterwards, keep the change history, and export in a format that stands on its own. Once the underlying model is right, adding these modules is comparatively cheap.
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.
A stable formula with predictable yield is far simpler to model than one where potency, concentration and by-product ratios shift batch to batch and have to be reconciled and explained.
Lot-level genealogy in both directions costs more to build than batch-level recording, and is worth it precisely when a recall decision would otherwise have to be made blind.
A documented SCADA or LIMS interface makes integration routine. An undocumented or closed system means either a manual step or a disproportionate amount of work, and we will tell you which before quoting.
Applying append-only records and full change history across every module costs more than applying it to the records that actually face scrutiny. Deciding that boundary deliberately controls cost without weakening the compliance position.
Bringing safety, environmental and maintenance records into the same system is valuable, but each has its own format and retention rule, so each is a discrete piece of scope rather than a shared one.
Our production and export ERP with stage tracking, documentation and financial reporting — the closest of our own products to the stage-and-record modelling that process manufacturing requires.
Visit siteCloud inventory platform with multi-warehouse stock, barcode support and role-based access, built and running in production rather than demonstrated from a slide deck.
Visit siteOur own hosting platform on Windows Server and IIS, supporting .NET, PHP and static workloads — relevant here because we run production infrastructure ourselves rather than reselling someone else's.
Visit siteWebsite for an exporter of industrial packaging materials, organised around technical product data — the presentation pattern that works for chemical and industrial products sold on specification.
Visit siteCustom software development is the practice of building an application specifically for one organisation, rather than buying a general-purpose product. It is chosen when a business process is a competitive advantage, is unusual enough that packaged software cannot model it, or when licence costs for off-the-shelf tools exceed the cost of ownership.
Learn moreBusiness AI automation is the use of large language models and machine learning to complete tasks that previously required a person: answering repeat questions, extracting data from documents, drafting responses, classifying incoming requests, and routing work. It is most valuable where a task is high-volume, rule-heavy, and currently done by hand.
Learn moreWeb development is the process of designing, building, and maintaining the websites and web applications that run in a browser. It covers the visible interface (front end), the server logic and database behind it (back end), and the hosting, security, and performance work that keeps it online.
Learn moreCloud hosting is the practice of running websites and applications on managed infrastructure provided by a cloud platform rather than on a single physical server. Managed hosting adds a team that handles the deployment, security patching, backups, scaling, and monitoring on your behalf.
Learn moreWe agree how batches, formulas, yields, co-products and lots are represented, in writing, before a single screen is designed. On process projects this is the decision everything else rests on.
We come to Vadodara and walk the process with the people running it, including the quality lab and the records they maintain by hand. These requirements do not survive being gathered remotely.
What has to be immutable, what change history is required, how long records are kept and in what export format — settled with your regulatory or legal adviser before build, not after.
Forward and backward traceability links are captured from the outset, because the information required to reconstruct them later simply will not exist.
We read from SCADA, historian or LIMS interfaces where they exist and are reliable, and design an honest manual step where they are not. We do not touch control systems.
On-site training on your own data, support through the first full production cycle, then transfer of source code, documentation and credentials on final payment.
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.
Yes. Batch genealogy — tracing a finished batch back through intermediates to the raw material lots, and forward to where it was dispatched — is a core requirement in process manufacturing and we design the schema around it from the start rather than adding it later.
We integrate where those systems expose data through a documented interface — database views, OPC or file exports. We do not modify control systems themselves; that is specialist work and rightly belongs with your automation vendor.
Yes. Vadodara is roughly two and a half hours from our Surat office, which makes on-site requirement gathering and user training straightforward. For process-industry projects we consider that on-site time essential rather than optional.
Yes, and it has to. We model a formula rather than a fixed bill of materials, capture expected against actual yield with a reason for the variance, and let co-products and by-products carry their own value. Software that cannot express this forces a parallel spreadsheet, which then becomes the real record.
You keep them in a form you can read. We build exports in standalone formats and hand over the source code and database on final payment. A compliance record that is only readable inside one application is a liability, and we design against that.
Yes. Material safety data, hazardous waste manifests, incident and near-miss logs and permit-to-work records follow the same pattern as production records — capture at source, non-editable afterwards, full change history, clean export. Once the core model is right, these modules are comparatively quick to add.
We build to the requirement your regulatory adviser sets and provide the evidence and exports they ask for. We do not describe software as "compliant", because compliance is a property of your organisation and its processes rather than of a codebase. Any vendor selling it as a feature is telling you something untrue.
A first module covering batches, materials and genealogy is typically 10 to 14 weeks, longer than a discrete-manufacturing equivalent because the data modelling stage is more substantial. Additional modules for quality, safety records or costing are usually six to eight weeks each once the foundation is in place.
Last reviewed 2026-08-06 by the EasyWork Solutions team.