Operational
Transformed.

Performance

Bearing Distributor Tracks 5,000+ SKUs with Zero Errors Using Custom ERP

Bearing distribution is a business built on precision at scale. A single distributor can carry thousands of SKUs across bore sizes, brands, and bearing types, where a single-digit mix-up in part number can mean the wrong bearing lands on a customer's production line. This bearing distributor ERP SKU management case study looks at how a mid-size distributor went from spreadsheet-driven chaos to tracking over 5,000 SKUs with zero picking errors, using a custom ERP built specifically around how bearing distribution actually works.

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Case Study: Transport Company Automates Lorry Receipts and Reduces Billing Cycle by 3 Days

The Client A mid-size road transport company operating across three states, running a fleet of roughly 80 vehicles and handling freight for manufacturing and FMCG clients. Like most transport operators of this size, freight documentation, particularly lorry receipts (LRs), was almost entirely manual. The Challenge Every trip generated a physical lorry receipt filled out by hand at the loading point: consignor and consignee details, freight charges, vehicle number, and delivery terms. Drivers carried these documents through the trip, and once delivery was confirmed, the paperwork made its way back to the billing office, sometimes days or weeks later, depending on the route and how quickly drivers returned.

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Case Study: 4-Hour Batch Recall for Cosmetic Brand

The Challenge: A Quality Flag Nobody Could Trace Fast Enough This company runs a single plant producing skincare and personal care products across roughly 180 finished goods batches a month. Batch manufacturing records were kept on paper, one register for raw material receipts, another for production batches, and a separate dispatch log. Each linked to the others only if someone manually cross-referenced batch numbers by hand. That worked fine until a supplier flagged a quality issue with one lot of a preservative used across several product lines. The plant needed to know, fast, exactly which finished goods batches contained that raw material lot and where those batches had shipped. Pulling that answer meant three people going through paper registers page by page, matching raw material lot numbers against production dates against dispatch records. It took three days to get a confident answer.

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Case Study: 4-Hour Batch Recall for Cosmetic Brand

The Challenge: A Quality Flag Nobody Could Trace Fast Enough This company runs a single plant producing skincare and personal care products across roughly 180 finished goods batches a month. Batch manufacturing records were kept on paper, one register for raw material receipts, another for production batches, and a separate dispatch log. Each linked to the others only if someone manually cross-referenced batch numbers by hand. That worked fine until a supplier flagged a quality issue with one lot of a preservative used across several product lines. The plant needed to know, fast, exactly which finished goods batches contained that raw material lot and where those batches had shipped. Pulling that answer meant three people going through paper registers page by page, matching raw material lot numbers against production dates against dispatch records. It took three days to get a confident answer.

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Case Study: Auto Dealer Cuts Lead Response to 2 Hours

The Challenge: Leads Going Cold Before Anyone Called This dealer group runs six showrooms across three cities, selling two automobile brands with leads coming from the brand website, Facebook and Instagram ads, walk-ins, and listing sites like CarDekho and CarWale. On paper, that's a healthy lead volume — 800 to 1,000 leads a month, more than enough to hit aggressive sales targets if even a reasonable share converted. In practice, most of them were going cold before a salesperson ever picked up the phone. Leads landed in a shared inbox or got forwarded over WhatsApp to whichever branch manager happened to be free at the time, with no consistency in how or when that handoff actually happened. There was no system deciding who should follow up, no record of when a lead came in, and no visibility into how long it sat untouched in someone's message thread. Branch managers were juggling this alongside their regular sales floor responsibilities, which meant lead follow-up competed for attention with whatever was happening in the showroom that day — and it usually lost.

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Case Study: 35% Less QC Rejection for Forging Unit

The Challenge: High Rejection with No Way to Find the Cause This forging unit had been operating for 18 years and supplied automotive Tier-1 and Tier-2 customers across Gujarat and Maharashtra. Their engineering quality was solid — their production team knew their craft. But their rejection rate had crept up over the previous two years, and nobody could pinpoint why. The fundamental problem was a data problem. When a batch of components failed inspection — either internally at final QC or at the customer's incoming inspection — there was no systematic way to trace back what had gone wrong. The paper job cards from the relevant production run might or might not be retrievable. The heat records from the furnace were in a separate logbook. The die condition at the time of forging was undocumented.

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Case Study: 35% Less QC Rejection for Forging Unit

The Challenge: High Rejection with No Way to Find the Cause This forging unit had been operating for 18 years and supplied automotive Tier-1 and Tier-2 customers across Gujarat and Maharashtra. Their engineering quality was solid — their production team knew their craft. But their rejection rate had crept up over the previous two years, and nobody could pinpoint why. The fundamental problem was a data problem. When a batch of components failed inspection — either internally at final QC or at the customer's incoming inspection — there was no systematic way to trace back what had gone wrong. The paper job cards from the relevant production run might or might not be retrievable. The heat records from the furnace were in a separate logbook. The die condition at the time of forging was undocumented.

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Case Study: Fewer POD Disputes for Road Transport Firm

The Challenge: POD Disputes Were Costing More Than Just Money Proof of delivery — the POD — is the foundation of freight billing. In road transport, it's the signed document that confirms cargo arrived at the consignee's location in the right condition. Without a clear, retrievable POD, billing disputes are almost impossible to resolve in your favour. This transport company was handling over 1,200 trips a month. Their POD process was entirely paper-based. Drivers carried a printed LR copy, got it signed at delivery, and returned the signed copy to the nearest branch. Branches then couriered the paper PODs to the head office for billing.

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Case Study: 60% Fewer Invoice Errors for Cargo Company

The Challenge: Billing Errors That Were Hurting Client Relationships This cargo company had been in business for over 12 years. They had a reputation for reliable service across Gujarat — but their billing process was creating friction with some of their best clients. The problem wasn't negligence. It was structure. Their three branches each used a different system — one on Tally, one on a legacy cargo software, and the Surat branch was still working primarily in Excel. When a multi-city consignment involved more than one branch, the billing data had to be manually compiled. That's where errors crept in.

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Case Study: 40% Less Downtime for Bearing Manufacturer

At a Glance Industry Bearing Manufacturing Company Size ~120 employees, 3 production lines Location Pune, Maharashtra Challenge Unplanned machine downtime causing missed deliveries and high rework costs Result 40% reduction in unplanned downtime within 6 months of Odoo MRP implementation Background This bearing manufacturer had been in business for over two decades, supplying precision bearings to automotive OEMs and industrial equipment companies across India. With three production lines and around 120 employees, the company had grown steadily — but its systems had not kept up. Production planning was done in Excel. Maintenance schedules were tracked by the maintenance team in a separate register. When a machine broke down, the production team found out only when output stopped. There was no early warning, no visibility into upcoming maintenance requirements, and no connection between machine health data and production scheduling. The result was a pattern of unplanned stoppages that had become accepted as normal. Two to three machine breakdowns per month, each causing anywhere from four to twelve hours of lost production. Delivery timelines slipped. Customers raised complaints. And the management team spent considerable time firefighting instead of planning.

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3x Business Growth with Agentic AI

IT Company Powers 3x Business Growth Using Agentic AI Workflows CLIENT SNAPSHOT Industry: IT Services & Software Development Company Size: 25–60 employees Headquarters: Ahmedabad, Gujarat Challenge: Scaling operations without proportional increase in headcount Solution: Agentic AI workflows integrated with Odoo ERP and WhatsApp automation Result: 3x increase in operational output over 14 months

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Wholesale Distributor Automates Orders via WhatsApp Bot

Wholesale Distributor Automates Order Processing with WhatsApp Bot 📊 AT A GLANCE Industry: FMCG Wholesale Distribution Business Size: Mid-size distributor, 200+ active retail clients Challenge: Manual WhatsApp order collection causing errors and delays Solution: Custom WhatsApp bot integrated with Odoo ERP Key Result: 80% reduction in order processing time, near-zero entry errors

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Casting Manufacturer Streamlines Production Planning with Odoo MRP

Case Study: Casting Manufacturer Streamlines Production Planning with Odoo MRP Client Background Our client is a mid-sized grey iron casting manufacturer based in Maharashtra, producing components for the automotive, agriculture, and industrial machinery sectors. With a workforce of around 120 people and two production lines running six days a week, they were handling a mix of make-to-order and make-to-stock production across 80+ SKUs. The business had been operating for over 15 years and had a strong customer base — but growth was creating strain. What worked at ₹5 crore annual revenue was breaking down at ₹20 crore. The team was working harder, but the results weren't reflecting that effort.

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Odoo Job Card Automation for Forging Unit

Forging Unit Eliminates Manual Job Cards with Custom Odoo Workflow At a Glance Industry: Open and Closed Die Forging (Automotive and Bearing components) Plant Size: Two production lines, ~85 employees, 1,200 MT/year capacity Location: Pune, Maharashtra Project: Custom Odoo workflow for job card management and shop-floor tracking Timeline: 11 weeks from kickoff to go-live Outcome: 100% paper job cards eliminated, on-time delivery up from 78% to 96%, rejection cost reduced by 31% This forging unit odoo case study covers a project we delivered in late 2025. The client is a Pune-based forging house supplying automotive crankshafts, connecting rods, and bearing rings to OEM tier-1 suppliers. They came to Sunray Datalinks with a familiar story. Production was running well in volume, but the office had no real visibility into the shop floor. Job cards were printed every morning, lost by afternoon, and reconstructed from memory at month-end. Customer schedules were slipping, and the rejection register lived in a steel cupboard.

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Odoo DMS for Multi-Branch Auto Dealer

How a 5-Branch Auto Dealer Group Centralised Operations with a Custom Odoo DMS Snapshot Industry: Automobile Dealership (Multi-Brand, 5 Branches) Region: Western India Implementation Timeline: 14 weeks (discovery to go-live) Modules Implemented: CRM, Sales, Inventory, Accounts, Service, HR, Custom DMS Dashboard, WhatsApp Integration Result: Unified reporting across 5 branches, 30% faster monthly closing, 25% improvement in lead-to-delivery conversion

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Odoo Billing Automation for Freight Firm

The Company Our client is a road freight company based in Gujarat, operating a fleet of 65 commercial vehicles serving 40+ clients across western India. Their business model covers both dedicated client runs (fixed routes, fixed rates) and spot market assignments (variable routes, negotiated rates). By the time they came to Sunray Datalinks, they were doing approximately 180-220 trips per month and billing for every single one of them manually.

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Odoo for Cosmetic Quality Control

Case Study: How a Cosmetic Manufacturer Hit Zero Batch Rejections With Odoo Quality Control Odoo quality control for cosmetic manufacturers sounds like a niche use case until you have spent a morning inside a plant watching three batches of foundation fail final inspection and get sent back for rework. This case study walks through exactly how Sunray Datalinks helped a mid-sized cosmetic manufacturer go from 6.4 percent batch rejection rates to zero — in nine months — using Odoo's quality control module and a few industry-specific customisations. Names and numbers are shared with permission, with the brand anonymised.

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AI-Driven ERP for Plywood Manufacturer

Case Study: Plywood Manufacturer Reduces Production Wastage by 22% with AI-Driven ERP 📌 EXECUTIVE SUMMARY Client: Mid-size plywood manufacturing unit, Gujarat, India Production capacity: 12,000 sq. metres per day Challenge: High production wastage, no real-time visibility, manual tracking Solution: Custom AI-integrated ERP built on Odoo by Sunray Datalinks Timeline: 10 weeks from project start to go-live Key result: 22% reduction in production wastage; month-end close reduced from 7 days to 2 days

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Auto Dealer Increases Sales by 25% Using Custom DMS Built on Odoo

Background This case study describes a composite of outcomes achieved by a regional multi-branch automobile dealership that worked with Sunray Datalinks to implement a custom Dealer Management System built on Odoo. The dealer operated three showrooms handling a popular passenger vehicle brand, with a combined sales team of over 30 people and a service centre handling 200+ vehicles per month. For competitive reasons, specific identifying information is not shared in this published version. A detailed version with full client details is available on request for qualified prospects.

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Custom ERP for Road Transport Firm

Background This transport company had been operating for over 12 years, serving manufacturing clients across Gujarat and Maharashtra. With a fleet of 62 vehicles and operations running round the clock, managing the business had become genuinely difficult. The owner was spending 3–4 hours every day chasing information — which trucks were on which routes, which invoices were pending, which drivers had outstanding advances. His operations manager had a similar problem. And the finance team was reconciling everything manually at the end of each month, a process that took 4–5 days and was still error-prone.

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Streamlining Inventory for a Bearing Manufacturer with Odoo ERP

Client Mid-size bearing manufacturer, Gujarat Industry Industrial Bearings Manufacturing Annual Revenue ~₹18 crore Employees 60+ Implementation Odoo 16 ERP — Inventory, Manufacturing, Purchase, Accounting Inventory carrying cost Reduced by 30% Stockout incidents Down from 18/month to 3/month Procurement cycle time Cut from 7 days to 2 days Billing accuracy Improved from 82% to 99% Dispatch-to-invoice lag Reduced from 3 days to same-day

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