Manufacturing

12 min read #Manufacturing
62%
Reduction in dealer debtor days
4.5×
Faster quote-to-dispatch turnaround
₹9.2L
Annual audit and reconciliation cost saved

Challenge

Dealer credit cycles stretched to 110 days with no live AR visibility.

Solution

Zoho Books + CRM unified dealer billing, credit limits, and collections tracking.

Tools

Zoho CRM Zoho Books Zoho Analytics
Case Study  ·  Hydraulic Components Manufacturing

How a Hydraulic Components OEM Cut Debtor Days 62% with Zoho

Industry
Hydraulic Components Manufacturing
Revenue Band
₹18–28 Cr annual turnover
Company Size
90–130 employees
Tools Deployed
Zoho CRM, Zoho Books, Zoho Analytics

This OEM manufactures hydraulic cylinders, pumps, and valve assemblies sold through a dealer network spread across four verticals: agriculture equipment, construction machinery, material handling, and industrial presses. Collections were the single largest operational drag. Dealer credit stretched to an average of 110 days, finance had no real-time view of outstanding balances, and the sales team was approving fresh orders for dealers already beyond their credit ceiling. See how similar manufacturing businesses have tackled these challenges with Zoho.

The Problem

Three separate systems handled different parts of the order-to-cash cycle. None of them talked to each other in real time, which meant every exception required a phone call or a manually exported spreadsheet to resolve.

No Live AR Visibility

Outstanding invoices lived in Tally, dealer interactions in a sales Excel, and credit approvals in email threads. Finance could only produce an AR ageing report at month-end, by which point several dealers had already received additional shipments against unpaid dues.

110-Day Dealer Credit Cycle

Standard credit terms were 60 days, but the average collection period had drifted to 110 days because follow-ups were manual and inconsistent. Sales executives had no system-enforced block on dispatching to overdue accounts, so high-volume dealers routinely carried 90-day-plus balances with no escalation.

Slow, Error-Prone Quoting

Quotations for custom cylinder assemblies were built manually in Excel, cross-referencing a price list that was updated quarterly. Errors in dealer-specific pricing tiers caused invoice disputes that delayed payment further. A single quote revision cycle took 2 to 3 days on average.

The Solution Stack

Zoho Books handled the billing and AR ledger, Zoho CRM became the single interface for the sales team to manage dealer accounts with live credit status embedded, and Zoho Analytics pulled both sources together for management reporting.

Zoho
Books

Unified dealer billing with credit-limit enforcement

  • Migrated all dealer accounts and opening balances from Tally; GST tax rules mapped to Books for B2B invoicing compliance.
  • Credit limits set per dealer in Books; system blocks new invoice creation once a dealer breaches their approved ceiling.
  • Automated payment reminders triggered at 7, 15, and 30 days overdue, sent directly from the Books workflow without manual intervention.
  • E-invoice and e-way bill generation integrated, eliminating a separate step that previously delayed dispatch clearance by half a day.
Zoho
CRM

Dealer AR status visible inside every sales interaction

  • Books integrated with CRM via Zoho’s native connector; each dealer account in CRM shows current outstanding balance, overdue amount, and credit utilisation percentage in real time.
  • Quotation module in CRM replaced the Excel price list; dealer-tier pricing applied automatically, reducing quote generation from 2–3 days to under 4 hours.
  • Dispatch approval workflow configured: orders for dealers with overdue balances above a threshold route to the finance manager for clearance before the warehouse picks the item.
  • Collections activity, calls, and follow-up tasks logged against the dealer record, giving the finance team full context without separate email threads.
Zoho
Analytics

Live AR ageing and dealer performance dashboards

  • AR ageing dashboard refreshes daily from Books data; management can see bucket-wise (0–30, 31–60, 61–90, 90+) outstanding at any moment, no month-end export required.
  • Dealer collection efficiency score tracks each dealer’s average days-to-pay over rolling 3-month and 12-month windows.
  • Monthly reconciliation report for GST output tax liability auto-generated from Books transaction data, cutting audit preparation from 4 days to under half a day.

Before vs. After

Process Area Before After
AR visibility Month-end Tally export, 3–5 day lag Live dashboard in Zoho Analytics, updated daily
Average debtor days 110 days 42 days
Credit limit enforcement Manual check by finance, frequently missed System-enforced block; no dispatch without clearance
Quote generation cycle 2–3 days, Excel-based, tier-pricing errors common Under 4 hours, auto-applied dealer pricing in CRM
Payment reminders Ad-hoc phone calls, no audit trail Automated at 7/15/30-day triggers with logged delivery
GST reconciliation 4 working days per quarter, external CA involvement Auto-report from Books; under half a day
Dispatch approval for overdue dealers No formal gate; sales team self-approved Finance-approval workflow; full escalation trail

Implementation Phases

1
Data Migration and Books Setup Weeks 1–3
  • Exported 3 years of dealer transaction history from Tally; cleaned and reconciled opening balances for 140 dealer accounts.
  • Configured GST tax groups, HSN codes for hydraulic components, and dealer-specific credit terms in Zoho Books.
  • Set up bank reconciliation feed and mapped existing FY open invoices to Books AR ledger.
  • Validated e-invoice and e-way bill API connectivity with the GST portal in a sandbox environment before cutover.
2
CRM Configuration and Books Integration Weeks 4–6
  • Built dealer account structure in Zoho CRM with custom fields for credit ceiling, product vertical, and territory.
  • Activated native CRM-Books integration; AR balance and overdue fields synced to CRM dealer records on a scheduled pull every 6 hours.
  • Configured the quotation module with 4 dealer pricing tiers and product catalogue covering 380 SKUs.
  • Built dispatch approval workflow: order records with linked overdue balance above the defined threshold auto-route to finance queue.
3
Analytics Dashboards and Automation Rules Weeks 7–8
  • Built AR ageing dashboard in Zoho Analytics with bucket-wise views and dealer-level drill-down.
  • Configured automated payment reminder sequences in Books; suppression logic added for dealers with active dispute flags.
  • Created dealer collection efficiency scorecard with rolling 3-month and 12-month averages.
4
Training, Parallel Run, and Handover Weeks 9–10
  • Conducted role-specific training: finance team on Books AR workflows, sales team on CRM quotation and dealer credit views.
  • Ran a 2-week parallel period with Tally to validate Books output tax figures before full cutover.
  • Handed over with documented SOPs for monthly GST reconciliation, credit limit reviews, and Analytics dashboard export.

Results

Within one full FY quarter post-go-live, average debtor days dropped from 110 to 42. The credit-limit enforcement gate alone stopped four large shipments going out to dealers carrying overdue balances, preventing an estimated ₹38L of additional credit exposure. The finance team cut its audit preparation time from 4 days per quarter to under half a day. Read more about our Zoho implementation case studies to see similar outcomes across industries.

62%
Reduction in dealer debtor days
4.5×
Faster quote-to-dispatch turnaround
₹9.2L
Annual audit and reconciliation cost saved
Key metrics — before vs. after

What This Means for Hydraulic Components Manufacturers

For OEMs selling through dealer networks on credit, AR ageing is a cash flow problem that compounds quietly. Connecting your billing system to the tool your sales team already uses for quoting and dealer management creates a closed loop: credit limits enforce themselves, reminders send automatically, and finance sees the full picture without waiting for month-end exports.

Frequently Asked Questions

Can Zoho Books handle the GST compliance requirements specific to manufacturing, including e-invoicing and e-way bills?

Yes. Zoho Books is GST-ready for Indian manufacturers and supports e-invoice generation via the IRP API and e-way bill creation through the NIC portal integration. HSN codes, tax rates, and dealer-specific supply types (B2B, B2C) are configured at the item and contact level, so every invoice generates the correct GST treatment without manual intervention at the time of billing.

How does the credit-limit enforcement work when the sales team raises a new order for an overdue dealer?

In this implementation, the CRM quotation and order record pulls live AR data from Books every 6 hours. When a sales executive converts a quote to an order for a dealer whose outstanding balance exceeds the credit ceiling, a workflow rule routes the order to a finance approval queue rather than progressing it to dispatch. The sales executive sees the block and the reason in the CRM record, so there is no ambiguity about why the order is on hold.

What was involved in migrating from Tally to Zoho Books without disrupting mid-year billing?

The migration covered 3 years of dealer transaction history and 140 open accounts. A parallel run of 2 weeks was maintained after go-live, where the same invoices were raised in both systems and output tax figures compared before the old Tally instance was retired. Opening balances for FY open invoices were imported into Books as opening AR entries, preserving the ageing history so the new AR dashboard was accurate from day one.

Is Zoho Analytics capable of replacing a CA-prepared quarterly reconciliation report?

For internal reconciliation purposes, yes. The Analytics report built here pulls Books transaction data and generates an output tax liability summary by tax rate bucket, which the finance team uses to cross-check GSTR-1 before filing. It does not replace the CA for filing or for complex adjustment scenarios, but it eliminates the 4-day manual data preparation exercise that preceded each CA engagement, which is where the ₹9.2L annual saving comes from.

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