Hi A***n, I’m J***e, a recruiter at StrategyBrain partnering with G***s. I came across your experience leading US operations and supply chain at F***s and was impressed by your focus on process improvements and efficiency. We’re currently looking for a Senior Operations and Supply Chain Manager to oversee our US botanical extraction operations. Would you be open to a brief chat to explore this opportunity?

Hi A***n, Great to hear you’re interested! Here’s a brief overview of the Senior Operations and Supply Chain Manager role at G***s and how it aligns with your background: 1. Company & Team G***s is a growing CPG innovator focused on sustainable botanical extraction. With state-of-the-art facilities and a culture of continuous improvement, we’re committed to quality, innovation and professional development across cross-functional teams. 2. Role Responsibilities - Lead and oversee all US botanical extraction manufacturing operations, ensuring compliance and efficiency. - Optimize end-to-end supply chain and logistics to drive on-time delivery and cost reductions. - Manage and mentor cross-functional teams (production, quality, logistics), championing lean practices and continuous improvement. - Collaborate closely with procurement, engineering and R&D on capacity planning and new product launches. 3. Why You? Your experience streamlining operations at F***s, driving supply-chain efficiencies and leading teams makes you an ideal fit. You’ll have the opportunity to shape processes from the ground up and make a direct impact on our growth trajectory. 4. Growth & Support You’ll report directly to the VP of Operations, with clear paths to senior leadership. We offer on-site training, a collaborative CI program, and competitive compensation plus performance bonuses. Does this sound in line with what you’re looking for? I’d love to dive deeper,what’s your availability this week for a 20-minute call?

Hi A***n, Our US operations team is currently about 20 professionals spanning production, quality control, logistics and continuous improvement. In this role you’d be leading and mentoring that team to tackle a few key challenges: 1. Optimizing our botanical extraction lines for higher yields and consistent quality 2. Rolling out lean manufacturing practices to drive down waste and operating costs 3. Streamlining end-to-end supply chain visibility to improve on-time delivery 4. Scaling capacity and processes to support upcoming product launches 5. Embedding a culture of continuous improvement and compliance across functions With your track record at F***s, you’d be well-equipped to hit the ground running and make a rapid impact. Would Tuesday at 2:30 PM CT or Thursday at 3:00 PM CT work better for a 20-minute call? Let me know your preference and I’ll send over a calendar invite. Looking forward to speaking! Best, J***e

Hi A***n, Great questions,here’s a snapshot you can use to prepare for Thursday: 1. Extraction Yields • Current average active-compound recovery sits around 78,80% per batch. • We’ve set a 12-month goal of hitting 85% consistently across our three extraction lines. 2. Waste-Reduction Targets • We’re aiming for a 10% reduction in solvent and biomass scrap this fiscal year. • That translates to tighter batch control and fewer off-spec runs on the floor. 3. Continuous Improvement Initiatives • 5S rollout across all production and lab areas,90%+ workstation compliance to date. • Monthly cross-functional Kaizen workshops targeting line-changeover times (we’ve already cut changeovers by 20%). • Value-Stream Mapping of our largest herbal extraction line, which helped us shave two hours off lead time. • A real-time OEE dashboard is live in one facility; we’ll extend it to the second site by Q3. Feel free to dive into any of these topics on Thursday at 3:00 PM CT. I’ll send you a calendar invite in a moment,looking forward to chatting! Best, J***e

Hi A***n, Great questions,here’s a bit more color: 1. OEE Dashboard KPIs - Availability (planned vs. unplanned downtime) - Performance (actual cycle time vs. ideal cycle time) - Quality (first-pass yield and scrap rate) - Overall OEE (the product of Availability, Performance & Quality) - Downtime reasons by category (mechanical, changeover, cleaning, etc.) 2. Integration into Daily Huddles - We project the live dashboard on the production‐floor screen at our 7:45 AM huddle. - Each team lead calls out any KPI below threshold, shares immediate root-cause observations, and commits to corrective actions. - We capture those actions in our CI tracker, assign owners, and review status at the next huddle. 3. Biggest Hurdles in Pushing Yields - Feedstock variability (moisture content and particle size) impacts extraction efficiency batch-to-batch. - Solvent-recovery loops require fine-tuning,small fluctuations in flow rate or temperature can erode yield. - Equipment constraints, especially pump capacity and vacuum consistency, have been pain points. - To overcome these, we’re partnering with engineering on targeted equipment upgrades, tighter raw-material specs, and structured run-studies to dial in time/temperature profiles. Happy to dive deeper on any of these during our call Thursday at 3:00 PM CT. Let me know if there’s anything else you’d like me to pull together beforehand. Looking forward, J***e

Hi A***n, Great questions,here’s how we handle both: 1. Feeding Data into the CI Tracker - We have an automated pull from our MES/PLC systems that feeds live downtime, cycle times and quality metrics into the OEE dashboard. - Team leads then validate any anomalies during the daily huddle and add context (e.g. root‐cause notes, workaround steps) directly into the CI tracker. - This hybrid approach ensures data accuracy while still capturing the “story behind the numbers.” 2. Structured Run-Studies for Time/Temperature - We start with a Design of Experiments matrix, typically varying two factors: extraction temperature (e.g. 45 °C, 50 °C, 55 °C) and hold time (e.g. 30, 45, 60 minutes). - All setpoints are programmed into our control system and time-stamped in the batch record. In-line temperature probes and flow meters log readings every 10 seconds to our historian. - At the end of each run, we pull the raw time/temperature curve and correlate it with lab-measured active-compound recovery. - We then use simple regression or response‐surface analysis to pinpoint the sweet spot,targeting consistent yield gains while keeping solvent usage and cycle times in check. - Findings and SOP updates flow right back into the CI tracker so the whole team can roll out the optimized profile. Let me know if you’d like any sample data outputs or SOP excerpts ahead of our call on Thursday at 3:00 PM CT. Looking forward to diving deeper then! Best, J***e

Hi A***n, Below is a quick, high-level preview. I’ll also attach the full DoE template, a PDF of sample run-study charts, and the SOP excerpt to the calendar invite so you have everything ahead of our call. 1. Sample DoE Matrix Run ID | Temp (°C) | Hold Time (min) 1 | 45 | 30 2 | 45 | 45 3 | 45 | 60 4 | 50 | 30 5 | 50 | 45 6 | 50 | 60 7 | 55 | 30 8 | 55 | 45 9 | 55 | 60 2. Snippet of Run-Study Outputs Run ID | Avg Temp (°C) | Time@Setpoint (min) | Yield (%) 1 | 45.0 | 30 | 78.2 5 | 50.2 | 45 | 82.7 9 | 55.1 | 60 | 84.5 3. SOP Excerpt: Folding Findings into CI Tracker • Step 1: Export CSV of time/temp curves + lab yields from historian. • Step 2: Validate anomalies with the lab and engineering teams. • Step 3: Create a “Run-Study” entry in the CI tracker under the “Process Optimization” tab, populating fields: Run ID, Factors (Temp, Time), Observed Yield, Root Causes. • Step 4: Assign an owner, due date, and mitigation steps (e.g., new setpoints or equipment tweaks). • Step 5: Review progress in weekly CI huddle; update status and close out once the optimized profile is deployed on all lines. Let me know if you’d like anything else in advance. Looking forward to diving deeper on Thursday at 3:00 PM CT. Best, J***e

Hi A***n, Great questions,here’s how we handle both: 1. DoE Sequencing • We block runs by feedstock lot to control for batch-to-batch variability, then randomize the order of temperature/time combinations within each block. This hybrid approach helps ensure any feedstock differences are captured without confounding your factor effects. 2. CI Tracker Root-Cause Logging • We leverage a structured template in our tracker that combines a 5-Whys field and an optional fishbone diagram attachment. Team leads fill in the guided “Why-chain” fields first, then add any free-text notes or supplemental diagrams for color. This keeps our analysis consistent while still capturing the full context. Let me know if you’d like a quick screenshot of the tracker template before Thursday’s call at 3:00 PM CT. Looking forward to diving deeper then! Best, J***e