Leather export group3 units · 480 staff
Eleven spreadsheets to one ledger
WasCosting reconciled monthly, three days late
NowLive cost per square foot, closed same day
- Month-end close
- 3 days → 4 hrs
- Stock accuracy
- +31%
- Manual entry
- −68%
Enterprise platform · Since 2010
The Operating System for
Modern Leather Manufacturing.
Connect production, inventory, costing, quality and dispatch through one intelligent enterprise platform built around the way your business operates.
- 1,240k
- Hides tracked / yr
- 68
- Plants running
- 41M
- Sq ft under ledger
SHALIVE ERP/Production/Drum Control
LIVEOutput today
1,284pcs
+8.4% vs plan
Batch yield
94.2%
+1.1 pts
Area produced
26,410sq ft
+3.2%
Rejection
2.1%
−0.4 pts
Drum schedule · Shift A
4 running| Drum | Lot | Process | Progress | ETA |
|---|---|---|---|---|
| DR-04 | WB-2418 | Retanning | 82% | 14:20 |
| DR-07 | WB-2421 | Dyeing | 46% | 16:05 |
| DR-02 | CR-1187 | Fatliquor | 94% | 13:10 |
| DR-09 | WB-2419 | Soaking | 18% | 19:40 |
WIP by process stage
- Soaking / Liming1,840 pcs
- Tanning1,206 pcs
- Retanning964 pcs18,420 sq ft
- Finishing712 pcs14,205 sq ft
- Selection388 pcs7,960 sq ft
Output · last 14 days
Yield trend
94.2% · +3.0 pts / 8 wk
Chemical variance
4.2% vs standard recipe
Leather & TanneryFootwearGarmentsTextileManufacturingRetail ChainsDistributionEducationFood & BeverageLogisticsExport HousesLeather & TanneryFootwearGarmentsTextileManufacturingRetail ChainsDistributionEducationFood & BeverageLogisticsExport Houses
- 16+
- Years engineering
- Continuous since 2010
- 200+
- Enterprise clients
- Across six industries
- 500+
- Systems delivered
- In production today
- 99%
- Uptime target
- On managed hosting
The platform
Enterprise software that
survives contact with a factory.
Most ERP fails on the floor, not in the demo. Ours is shaped by sixteen years of watching where it breaks.
01
One ledger, not seven systems
Purchase, production, stores, costing, dispatch and finance write to the same records. No nightly reconciliation, no version of the truth that depends on who you ask.
02
Built for how your process actually runs
Square-feet stock. Drum schedules. Selection grading. Job work in and out. We model the operation you have, not the one a template assumes.
03
Deployed on your terms
On-premise on your server, or managed cloud we run for you. Your data stays exportable and yours, in either case.
04
Supported by the people who wrote it
Escalation reaches an engineer who knows the code. No tiered script, no offshore handoff, no vendor pointing at another vendor.
Industry solutions
Depth in a few industries
beats breadth in none.
End-to-end
One continuous chain, from raw hide to shipped container.
Every stage writes to the same ledger, so the cost of a finished order traces back to the lot it came from.
01
Procure
Raw hide intake, inspection, lot creation
GRN · Lot
02
Process
Drum scheduling, recipe dosing, stage WIP
Batch · Recipe
03
Measure
Area capture, selection grading, substandard
Sq ft · Grade
04
Cost
Actual vs standard, per order and per sq ft
Variance
05
Dispatch
Packing list, export docs, e-Way bill
Invoice · BL
Products
Licensed platforms, already in production.
HR, Time & Payroll
The muster, the register
and the gate finally agree.
Attendance capture, access control and statutory payroll on one record — so nobody reconciles three systems at month end.
SHALIVE HRMS/Attendance/Daily Muster
LIVEOn roll
486
3 units
Present
44190.7%
+1.8 pts
Late marks
12
−5 vs avg
Unmatched punches
2
Needs review
Capture pointsGate-1 RFID · onlineShop-floor Face · onlineGate-2 RFID · onlineStores Face · sync 4m12 Aug 2026 · Shift A/B/C
| Code | Employee | Shift | In | Out | Source | Hrs | OT | Status |
|---|---|---|---|---|---|---|---|---|
| EMP-0142 | R. Karthikeyan | GEN | 08:54 | 18:06 | FACE | 9.2 | 1.2 | P |
| EMP-0188 | S. Meenakshi | A | 05:58 | 14:02 | RFID | 8.1 | — | P |
| EMP-0203 | A. Faizal | B | 14:12 | 22:04 | RFID | 7.9 | — | LATE |
| EMP-0217 | M. Bhuvana | GEN | — | — | — | — | — | CL |
| EMP-0245 | T. Vignesh | C | 21:56 | 06:03 | FACE | 8.1 | 0.1 | P |
| EMP-0261 | K. Anitha | GEN | 09:41 | 18:02 | MOBILE | 8.3 | — | OD |
Attendance % · last 14 days
Overtime hours
281 hrs · −32% / 8 wk
Capture split
- Face terminal62%
- RFID card31%
- Mobile / geo7%
Leather & Tannery ERP
The vertical we know better than anyone.
Leather does not behave like discrete manufacturing. Yield varies per hide, stock is measured in square feet, and grading happens after processing — which is precisely where generic ERP falls apart.
- Lot-wise raw hide intake with supplier traceability
- Drum scheduling, capacity utilisation and recipe dosing
- Process-stage WIP: soaking, liming, tanning, finishing
- Area measurement capture and square-feet stock ledger
- Selection grading with substandard and rejection tracking
- Job work in/out with reconciliation against the issuing lot
- Actual vs standard costing per order and per square foot
- Export invoice, packing list and shipping documentation
SHALIVE ERP/Finance/Order Costing
LIVESO-2026-0418Export · Italy18,400 sq ftClosed 06 Aug 2026
| Cost head | Standard | Actual | Variance |
|---|---|---|---|
| Raw material (wet blue) | 7,42,000 | 7,58,400 | +16,400 |
| Chemicals | 2,14,500 | 2,01,900 | -12,600 |
| Job work — finishing | 96,000 | 96,000 | 0 |
| Power & fuel | 58,200 | 63,700 | +5,500 |
| Direct labour | 71,400 | 68,900 | -2,500 |
| Total | 11,82,100 | 11,88,900 | +0.6% |
Cost per sq ft₹ 66.79 vs ₹ 64.79 std
LWG COMPLIANCE MANAGER/Audit/Evidence Pack
LIVEReadiness
91.7%
Gold threshold 85%
Traceable intake
100%
12,480 hides
Open actions
2
Due in 9 days
Protocol sections
Audit 12 Sep 2026- 4.1Traceability — incoming hides100%Complete
- 5.2Restricted substance register96%Complete
- 6.1Water consumption / m³ per t88%Review
- 6.4Effluent treatment records92%Complete
- 7.3Energy consumption logs74%Action
- 8.2Waste disposal manifests100%Complete
LWG compliance
Audit-ready every day, not audit week.
Leather Working Group audits fail on missing evidence far more often than on bad practice. We capture it continuously, mapped to the protocol sections your auditor actually scores.
- Audit prep
- 3 weeks of paperworkOne report download
- Traceable intake
- Sampled at audit100%, continuously
- Evidence gaps
- Found during auditFlagged the same week
Figures from a multi-unit tannery running the compliance module since 2024.
AI & IoT
Intelligence that writes back into the ledger.
A model that only produces a dashboard changes nothing. Ours turn a prediction into a purchase order, a rejection note or an alert on a supervisor's phone.
Vision grading assistance
Consistent scoring on the selection table, without inspector fatigue drifting the standard through a shift.
97%agreement with senior grader
Drum telemetry
Temperature, pH and rotation logged per batch. Recipe deviation surfaces in the same shift, not at month end.
−18%chemical variance
Demand forecasting
Order-driven and seasonal models sizing purchase and production ahead of confirmed demand.
−22%excess stock
Document intelligence
OCR pipelines reading invoices, packing lists and test reports straight into the ledger.
8×faster entry
Inside the product
Real screens, real data structures.
Not decorative mockups — these are the working views your team lives in.
SHALIVE ERP/Production/Drum Control
LIVEOutput today
1,284pcs
+8.4% vs plan
Batch yield
94.2%
+1.1 pts
Area produced
26,410sq ft
+3.2%
Rejection
2.1%
−0.4 pts
Drum schedule · Shift A
4 running| Drum | Lot | Process | Progress | ETA |
|---|---|---|---|---|
| DR-04 | WB-2418 | Retanning | 82% | 14:20 |
| DR-07 | WB-2421 | Dyeing | 46% | 16:05 |
| DR-02 | CR-1187 | Fatliquor | 94% | 13:10 |
| DR-09 | WB-2419 | Soaking | 18% | 19:40 |
WIP by process stage
- Soaking / Liming1,840 pcs
- Tanning1,206 pcs
- Retanning964 pcs18,420 sq ft
- Finishing712 pcs14,205 sq ft
- Selection388 pcs7,960 sq ft
Output · last 14 days
Yield trend
94.2% · +3.0 pts / 8 wk
Chemical variance
4.2% vs standard recipe
Technology
Chosen for a ten-year maintenance horizon.
Boring where it should be boring. Your system has to be supportable long after the people who built it have moved on.
Application
- .NET
- Node.js
- Next.js
- React
- TypeScript
Mobile
- React Native
- Flutter
- Kotlin
- Swift
Data
- SQL Server
- PostgreSQL
- MongoDB
- Redis
Cloud & Ops
- Azure
- AWS
- Docker
- Kubernetes
Edge & IoT
- MQTT
- Modbus
- Edge gateways
- Time-series
Intelligence
- TensorFlow
- OpenCV
- OCR pipelines
- LLM agents
Case studies
Before, after, and the number between.
The metrics below are the ones these clients track internally — not figures assembled for a slide.
Multi-unit tannery2 units · 12 drums
Drum telemetry that paid for itself
WasRecipe deviation found at month end
NowDeviation alerts within the same shift
- Chemical variance
- −18%
- Batch rejections
- −24%
- Payback
- 7 months
Matriculation school2,400 students
A campus that stopped phoning the office
WasFee queries handled at the front desk
NowParent app with live fees and attendance
- Front-desk calls
- −72%
- Fee collection
- +19%
- Go-live
- 6 weeks
Why Shalive
What changes when the vendor also wrote the code.
01
We build what we sell
No reselling, no outsourced delivery. The engineers who wrote your system answer your support calls.
02
Domain before software
We learn your vocabulary — square feet, drum charge, selection — before proposing anything.
03
Audit-grade by default
Role-based access and full change history on every record. Not a paid add-on.
04
One partner, whole stack
ERP, mobile, IoT and surveillance from one team, so integration is never someone else's problem.
05
Quoted before we start
Scope, deliverables and milestones in writing. Work outside scope is estimated and approved first.
06
Measured in year three
Most of our revenue comes from clients we onboarded years ago. That is the metric we manage against.
Questions
The things people ask before they commit.
If yours is not here, ask it directly — we answer scoping questions before there is a contract.
Yes — that is the normal engagement. Each solution ships with a configurable core, and we extend it to match your documents, approvals and reports during the design phase.
A single-module rollout typically goes live in 4–6 weeks. A full multi-module ERP with data migration and training usually runs 3–5 months, phased so you get value before the final module lands.
Both options are supported. We deploy to your on-premise server or to cloud hosting we manage for you, including backups, SSL and monitoring.
Yes. We migrate masters and open transactions from Tally, Excel or your legacy system, and run both systems in parallel until the numbers reconcile.
An annual support contract covers bug fixes, version upgrades, minor enhancements and helpdesk access, with response times defined in the SLA.
Start a conversation
Tell us what is breaking.
We will tell you honestly if we can fix it.
A technical demo runs on your data, not a canned dataset. If the answer is that you do not need us, we will say that too.