How to Reduce Manufacturing Lead Times by 40%: Case Study

Manufacturing lead times are the lifeblood of jewelry. Between commercial promises, client expectations, and production reality, the gap can be costly: lost clients, stressed teams, margins eroded by rush orders.

This case study traces the journey of a Parisian jewelry house that successfully reduced its average manufacturing lead times by 40% in 6 months. Methods, obstacles, results: here is the complete story of this transformation.

The Context: A House Under Pressure

Company Profile

Our case focuses on a jewelry house established for 25 years:

Initial Situation

Before optimization, production indicators were concerning:

Problem Symptoms

Management had identified several warning signs:

Frustrated Clients

• Frequent follow-ups on progress
• Cancellations due to deadline overruns
• Declining NPS scores

Stressed Team

• Permanent urgencies
• Chaotic communication with manufacturers
• Errors due to rushing

Financial Impact

• Surcharges for express deliveries
• Unplanned overtime
• Recurring lost orders

The Diagnosis: Identifying Root Causes

Flow Audit

The first step was to precisely map the journey of a typical order. Result: of 38 days average lead time, only 18 days were actual work time.

Time Distribution

Identified Bottlenecks

1. Slow Commercial Validation Orders sometimes waited 3-4 days to be validated and launched into production. Causes: missing information, postponed decisions.

2. Supply Disruptions Stones and supplies were only ordered after launch, creating avoidable wait times.

3. Poor Communication with Manufacturers Exchanges happened by phone, email, and WhatsApp, without traceability. Result: lost information, specification errors.

4. No Visibility on Progress Impossible to know where a piece was without calling each workshop. Problems were discovered too late.

5. Finishing Accumulation Pieces arrived in waves, creating workload peaks in finishing and cascading delays.

The Action Plan: 5 Priority Workstreams

Workstream 1: Structure the Launch

Objective: Reduce validation time from 3.5 to 1 day

Actions Implemented

• Creation of standardized launch sheet with all mandatory fields
• Rule: no launch without complete sheet
• Maximum validation time: 24h after receiving complete request
• Feasibility checklist for sales team

Result

• Validation time: 3.5 → 0.8 day
• Returns for missing information: -80%

Workstream 2: Anticipate Procurement

Objective: Reduce material wait times from 5 to 1 day

Actions Implemented

• Safety stock on most-used stones
• Framework agreement with two suppliers for 48h delivery
• Order specific stones upon commercial validation (not after CAD)
• Automatic alerts on stock-outs

Result

• Procurement time: 6 → 1.5 days
• Orders blocked waiting for materials: -70%

Workstream 3: Centralize Manufacturer Coordination

Objective: Eliminate information loss and streamline exchanges

Actions Implemented

• Implementation of single communication platform
• Standardized technical sheets shared with each workshop
• Production statuses updated in real-time by manufacturers
• Automatic alerts for delays or issues

Result

• Specification errors: -65%
• Time spent on phone with workshops: -50%
• Problem detection: -3 days on average

Workstream 4: Establish Real-Time Tracking

Objective: Have instant visibility on all orders

Actions Implemented

• Production dashboard accessible to entire team
• Mandatory statuses at each step change
• Proactive alerts on at-risk orders
• Daily 10-min meeting on blocking points

Result

• Client questions on progress: -60%
• Response time to status requests: a few seconds
• Delay anticipation: +5 days on average

Workstream 5: Smooth Finishing Workload

Objective: Avoid workload peaks at end of process

Actions Implemented

• Backward planning from delivery date
• Finishing capacity considered in order acceptance
• Occasional subcontracting when overload identified
• Explicit prioritization of real urgencies

Result

• Finishing workload peaks: smoothed over the week
• Unplanned overtime: -40%
• Finishing quality (less rushing): +15% conformity

The Results: 6 Months Later

Indicator Evolution

Business Impact

Operational gains translated into commercial results:

Client Satisfaction

• NPS went from 35 to 58
• Repeat purchase rate: +18%
• Client referrals: +25%

Growth

• Production capacity: +30% with same team
• New orders accepted: +22%
• Revenue: +15% over following 6 months

Profitability

• Rush and express costs: -60%
• Overtime: -35%
• Material losses (errors): -45%

Management Testimonial

"We knew we were losing time, but we had not measured how much. The flow audit was a revelation: half our lead time was wait time, not production. Once this diagnosis was made, the solutions became obvious."

Keys to Success

What Worked

1. Factual Diagnosis Measure before acting. Without precise data on time distribution, decisions would have been based on intuitions (often wrong).

2. Everyone's Involvement Sales, production, and external manufacturers were involved from the start. Solutions were co-developed.

3. Quick Wins First Starting with high-impact, low-effort changes (launch sheet, safety stock) created momentum.

4. Appropriate Tools A collaborative platform replaced emails and WhatsApp. Information flows better, without extra effort.

5. Long-term Follow-up Indicators are reviewed weekly. Drift is corrected before becoming a problem.

Pitfalls Avoided

Technology Solutionism The temptation was to look for "the miracle software." Reality: tools only support processes. Without clear processes, no tool solves anything.

Process Overload Too much formalism kills agility. New procedures were designed to be simple and fast.

Forgetting Partners External manufacturers could have blocked the change. Involving them from the start and showing them the benefits (fewer errors, fewer follow-ups) was decisive.

How to Apply This Method

Step 1: Measure Your Situation

Before any action, collect data on your last 20-30 orders:

• Duration of each step
• Wait time between steps
• Identified delay causes

Step 2: Identify Your Bottlenecks

Analyze where downtime concentrates:

• Validation?
• Procurement?
• Production?
• Communication?

Step 3: Prioritize Actions

Rank potential actions by:

• Impact on lead time
• Ease of implementation
• Cost

Start with high-impact, low-effort actions.

Step 4: Implement and Measure

Deploy one action at a time to measure its effect. Adjust before moving to the next.

Step 5: Sustain

Integrate new practices into daily routine. Train new hires. Maintain indicator tracking.

Reducing Lead Times with LIINK

The LIINK platform was designed to address the issues identified in this case study:

Centralization A single platform for all exchanges with your manufacturers. No more dispersion between emails, WhatsApp, and phone.

Real-Time Tracking Each status change is instantly visible. You know where each order stands without making a call.

Shared Technical Sheets Specifications are transmitted in a structured way. Fewer interpretation errors.

Proactive Alerts Potential delays are flagged before they become problems.

Conclusion: Lead Times, a Competitiveness Lever

Reducing manufacturing lead times is not just an organizational matter: it is a major competitiveness lever.

Houses that master their lead times can:

• Promise dates and keep them
• Accept more orders
• Satisfy more clients
• Generate more margin

The key: measure, identify true causes, and act in a targeted way.

Further Reading

• Jewelry Production Workflow: The 7 Critical Steps for Flawless Manufacturing
• Managing Production Emergencies During Jewelry Peak Season
• Case Study: Digitizing a Jewelry Workshop in 90 Days

Want to reduce your manufacturing lead times? LIINK helps you centralize coordination and track your production in real-time. Discover LIINK