Custom and modular ERP covering production, inventory, procurement, sales and finance in one auditable system. For Kanpur, that most often means manufacturing and retail — the industrial and commercial capital of Uttar Pradesh.
Kanpur ERP work is shaped by export documentation and by hide. Leather runs through tanning, finishing and cutting with yield that varies piece to piece, so any system assuming a standard conversion produces costing nobody believes. Add buyer-wise specifications and the paperwork a consignment needs, and the data model has to be right at the start — it is not something reporting fixes later.
Kanpur remains the state's manufacturing heart: leather and footwear around Jajmau, chemicals and engineering in Panki, Dada Nagar and Fazalganj, plus a substantial defence and public-sector presence. Alongside that sits an old, high-volume trading economy and a large student population around IIT Kanpur and CSJMU.
Manufacturing and trading businesses across Uttar Pradesh commonly run distributed, job-work-heavy production that standard ERP packages model badly. Getting material issue, outsourced stages and rework right is usually where the real value sits.
Kanpur businesses are frequently exporters, which changes the requirement: documentation, batch and lot traceability, multi-currency invoicing and compliance paperwork are not optional extras. Systems that only handle domestic billing get outgrown quickly here.
Ordered by what the Kanpur economy actually runs on, not by our own preference.
Bills of material and work orders are the easy part. What breaks generic packages is outsourced production — material issued to a job-worker, expected back, partially returned, some rejected, some reworked. Modelled properly, outstanding material is a screen; modelled badly, it is a physical count.
Multi-location stock with real valuation, purchase tied to supplier outstanding, and margin visible per SKU rather than per invoice. Most retail ERP disappointment traces back to stock figures nobody believes, at which point every report built on them is ignored too.
GST-compliant invoicing, ledgers and statutory reports generated from the same transactions the operations team enters — not compiled separately at month end from exports. Every manual step between operations and filing is a place errors enter and nobody notices.
An ERP earns its cost in exactly one way: everybody works from the same numbers. Purchase sees what production committed, finance sees what despatch actually shipped, and the monthly close stops being a reconciliation exercise between departments that each believe their own spreadsheet.
Multi-location, batch and lot-tracked stock with real valuation — the module everything else depends on being correct.
Bills of material, work orders, outsourced stages tracked as issue and receipt, rejection and rework, and stage-wise ageing.
Indents, approvals, purchase orders, GRN and supplier-wise outstanding, with the approval trail retained.
Orders, dispatch, invoicing and customer outstanding, including export documentation generated from the same records.
Ledgers, GST-compliant invoicing and statutory reporting fed directly from operational transactions.
Role-based dashboards, plus an optional assistant that answers questions over live ERP data in plain language.
We build ERP platforms module by module rather than as a single overwhelming rollout. Typically the first module is wherever the leakage is worst — stock movement, job-work, or procurement — because a narrow system people trust is worth more than a complete one they route around.
Where an off-the-shelf ERP genuinely fits your processes, we will say so. Custom becomes the right call when your process is itself the competitive advantage, or when the customisation needed to make a package fit means you are half-building anyway.
We are vendor-neutral. The stack follows the requirement — including the parts of it you already run.
We start where the leakage is worst — usually stock movement, job-work or procurement — rather than at module one of a standard implementation plan.
You see how we work, and how your data behaves, before committing to the full rollout. The remaining modules are quoted against what that first one taught us.
Because its cost depends entirely on the state of your existing data, and nobody — including you — knows that until it is examined.
The old and new systems run together for a full cycle. We are on site for the first close on the new platform, which is when the real questions surface.
None of it has to be tidy. Discovering that your data is messier than expected is part of the job, not a reason to delay starting.
Understand goals, constraints and success metrics.
Map processes, data and integration surface.
Design intuitive, accessible enterprise interfaces.
Design for scale, security and future backend.
Build in modular, reviewed increments.
Automated, security and acceptance testing.
Ship to cloud, private cloud or on-prem.
Long-term partnership, SLAs and iteration.
Kanpur is under two hours from our Lucknow base, so on-site work here is routine rather than exceptional — plant surveys, shop-floor training and month-end support all happen in person.
To be clear about it: our engineering base is in Lucknow, and we do not maintain a separate office in Kanpur. Every project there is delivered from Lucknow with planned on-site visits. It affects how you plan support, so we would rather you knew before the first meeting than after. Ask us anything about it.
The Kanpur-specific questions first, then the ones that come up on any ERP development project.
Yes, and for Jajmau and Panki units it is the requirement rather than a refinement. Lot identity carries through tanning, finishing and cutting, with actual yield captured at each stage so costing reflects what the material really produced rather than a standard assumption.
It should. Packing lists, invoices and buyer-specific documentation generated from the same production records rather than re-keyed into Word — which is where the errors, and the delays at the port, come from. Buyer-wise formats are configured once and reused.
Buy if your processes are standard and you want low maintenance — that is genuinely the better default. Build when your process is a differentiator, when you are drowning in workarounds, or when no package fits without customisation so heavy that you are effectively building anyway.
A first useful module in weeks; a full multi-module rollout across quarters rather than weeks. The pace is set by data cleanliness and user adoption far more than by development speed, which is why we sequence by pain rather than by module list.
Yes. We deploy to on-premise servers, private cloud or public cloud depending on your constraints. For businesses with limited or unreliable connectivity, on-premise with cloud reporting is often the practical choice.
Yes, and we treat it as a first-class part of the model rather than an adjustment. Material issued out, expected return, actual receipt, rejection and rework per job-worker, with outstanding material visible at any moment.
Yes. Export-oriented units around Jajmau and Panki need lot traceability from raw hide through finished goods, buyer-wise specification handling, and the export paperwork generated from the same records rather than re-typed. That is a design decision made at the data-model stage, not a report added later.
For a single-plant deployment, expect a first working module in weeks and a full cut-over across a cycle rather than a weekend. The pace is usually set by data cleanliness and shop-floor training, not by development — and we would rather say that up front than discover it at go-live.
Yes. Kanpur is close enough to Lucknow that scheduled on-site support is practical, and we plan the first month-end close on site because that is when the real questions surface.
Send us the problem in your own words. We will come back with what it takes, what it costs, and whether you actually need it.
