Custom and modular ERP covering production, inventory, procurement, sales and finance in one auditable system. For Bareilly, that most often means manufacturing and healthcare — the centre of India's menthol trade and a Rohilkhand commercial hub.
Menthol and mint processing makes stock valuation genuinely difficult, in a way manufactured goods do not. What arrives at the weighbridge varies in grade, moisture and yield, and the price moves while it is in your yard. A system that costs at a standard rate produces valuation nobody in the business believes, which means every report built on it is ignored.
Bareilly is the global centre of the mint and menthol trade, with processing and export units around Parsakhera and Bhojipura. Around that sits furniture and wood working, zari-zardozi craft, and a broad agri-trading economy serving the Rohilkhand region, plus a growing education and healthcare presence.
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.
Agri-commodity businesses face price volatility and quality variation that fixed-price systems handle badly. What they need is lot-wise costing, moisture and grade capture at intake, and a stock valuation that reflects what the material is actually worth today.
Ordered by what the Bareilly 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.
Hospital inventory is unforgiving: batch and expiry tracking on pharmacy and consumables, department-wise consumption, and reorder levels that account for how unevenly demand actually arrives. Manual stock control here writes off money and occasionally something worse.
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.
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.
Commodity clients are onboarded outside peak procurement season, since intake is the part of the process that cannot pause for a training day.
To be clear about it: our engineering base is in Lucknow, and we do not maintain a separate office in Bareilly. 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 Bareilly-specific questions first, then the ones that come up on any ERP development project.
Yes, and it is the core requirement rather than a refinement. Intake lot, grade, moisture and actual yield captured at weighment and carried through processing, so costing and stock valuation reflect what came in rather than an assumed conversion.
Lot-wise, at actual cost, with the valuation method agreed with your accountant rather than assumed by the software. Weighted average across a volatile season hides exactly the margin question you need answered while the season is still running.
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, and for Bareilly processors it is the core requirement rather than a refinement. Intake lot, grade, moisture and yield need to be captured at weighment and carried through processing, so that costing and stock valuation reflect what actually came in rather than an assumed standard.
Yes. Batch traceability from intake to shipment, buyer-wise quality specification, and export documentation generated from production records — the same pattern as our Kanpur and Agra export work, applied to a very different commodity.
Yes. Plant environments around Parsakhera need industrial-grade cabling and switching that survives dust and heat, while the office side is conventional. We survey and design both, then commission them as one network with a clear boundary between them.
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.
