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Results: Showing 26 case studies
Case Study: 4-Hour Batch Recall for Cosmetic Brand
Aug 07, 2026
cosmetic manufacturer odoo batch traceability case study
9 min read

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 #119
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Case Study: Auto Dealer Cuts Lead Response to 2 Hours
Jul 24, 2026
auto dealer lead response time crm automation
9 min read

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 #118
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Case Study: 35% Less QC Rejection for Forging Unit
Jul 21, 2026
odoo quality control forging case study
9 min read

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 #117
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Case Study: 35% Less QC Rejection for Forging Unit
Jul 10, 2026
odoo quality control forging case study
9 min read

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 #116
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Case Study: Fewer POD Disputes for Road Transport Firm
Jul 04, 2026
road transport erp case study pod management
9 min read

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 #115
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Case Study: 60% Fewer Invoice Errors for Cargo Company
Jun 26, 2026
cargo billing software case study invoice automation
9 min read

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 #114
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Case Study: 40% Less Downtime for Bearing Manufacturer
Jun 20, 2026
odoo mrp case study bearing manufacturer
8 min read

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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Case #113
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3x Business Growth with Agentic AI
Jun 12, 2026
agentic ai business growth case study
9 min read

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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Case #112
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