# Christopher Comodikes

Christopher Comodikes works on supply chain and logistics topics, including fleet planning, warehouse operations, and practical uses of AI in delivery routing. He shares operational examples and ideas about making supply chain management clearer for business leaders.

- Profile: https://b2binfluencer.marketing/creators/christopher-comodikes/
- LinkedIn: https://www.linkedin.com/in/christopher-comodikes-86b1991
- LinkedIn followers: 2,132
- Topics: artificial-intelligence, supply-chain, supply-chain-management
- Based on 11 dated posts, latest 2026-09-30

## Summary

Most useful for practical, candid testing of AI and supply chain logistics tools.

- Best for: Supply chain software or logistics technology brands needing practitioner-led tool evaluation.
- Not for: Consumer pet products or broad lifestyle reach campaigns.
- Check first: Confirm recent engagement figures and audience seniority and industry before contacting.

### Takeaways

- Tested AI on multi-day delivery routing with depot, return, speed, and delivery constraints.
- Found no road-map view and difficulty steering some AI runs back on course.
- Proposed a podcast to cut supply chain jargon for executives.

## Main ideas

- **AI is worth testing as a backup and scenario tool alongside purpose-built routing software**: Comodikes treats AI as a complement to established planning systems, not a replacement. The team’s routing and scheduling software works well for day-to-day operational planning, but comparing service levels across several days felt cumbersome and slow. AI made the comparison quick to set up. They also identify limits planners should weigh: no road-map view, only scatterplots of geolocated stops; no manual fine-tuning through a graphical planning interface; and the risk that a new dataset and prompt could send the model in a very different direction, making it hard to redirect without restarting. Their takeaway: AI is a credible backup if supply chain software goes down and a quick way to explore advanced concepts without lengthy setup.
- **Build complex analysis one constraint at a time**: Comodikes describes an iterative approach to working with AI: add a constraint, check the result and rerun the analysis. They added a missing depot address, corrected vehicles’ return to the depot and updated finish times, imposed a 17h00 return with a 30-minute grace period, confirmed an assumed average travelling speed, added delivery durations and merged multiple orders to the same address into a single delivery duration. The tool also suggested applying customer delivery windows, which they declined.
- **Supply chain talk should cut jargon and separate myth from reality for executives**: Comodikes wants supply chain communication for decision-makers to cut through jargon, separate myth from reality and help the C-suite identify which domains make sense for a particular business to tackle. The priority is selection and clarity, not covering every topic. They floated a podcast and asked the audience which domains to unpack first.
- **Judge operational roles by analytical skill and genuine enjoyment of the tools**: Comodikes sets out a baseline for planning work based on capability and disposition, not years alone: roughly three years of experience, completed tertiary education, comfort with analytics in advanced Excel and enjoyment of advanced supply chain planning tools. In a related warehouse manager post, they describe business growth as adding complexity, not simply volume to move, and frame the role as an opportunity to take on interesting challenges and build supply chain experience. They also recommend a supply chain graduate finishing a BCom, available from the end of November and open to any role that builds experience.

## Work to read

- [Testing AI on tactical vehicle routing](https://www.linkedin.com/posts/christopher-comodikes-86b1991_supplychain-ai-logistics-activity-7364658744275648512-TcV1)
- [A podcast to cut through supply chain jargon for executives](https://www.linkedin.com/posts/christopher-comodikes-86b1991_business-logistics-supplychainmanagement-activity-6930047200508928000-1FZw)
- [A warehouse manager role described through industry context](https://www.linkedin.com/posts/christopher-comodikes-86b1991_hi-guys-pack-leader-is-looking-for-a-warehouse-activity-6863801246407520256-NzP9)
- [What a supply chain planner job looks like to Comodikes](https://www.linkedin.com/posts/christopher-comodikes-86b1991_i-am-looking-for-a-young-supply-chain-planner-activity-6508882828929880064-fLOY)
- [Supporting a graduate entering supply chain management](https://www.linkedin.com/posts/christopher-comodikes-86b1991_james-lycett-bcom-honours-in-supply-chain-activity-6983652099305684993-ipg6)

## Brand relationships

- **Pack Leader** (disclosed_partnership)
- **ChatGPT** (mention)
- **Gemini** (mention)

## Partnerships

Christopher Comodikes's posts focus on operational and hiring commentary in supply chain and logistics: a warehouse manager role at a pet-industry business, a supply chain planner search, a university graduate they recommended for a supply chain job, an idea for a supply chain podcast aimed at executives, and a detailed account of testing ChatGPT on multi-day delivery routing. The posts do not document sponsorships, advertising, a brand-partnership offering, a rate card, sponsored-format menu, media kit, or official inquiry link. Buyers should contact them directly to discuss a potential engagement.

## Alternatives

- Leo Pickford: Choose Leo Pickford over Christopher Comodikes when the engagement focuses on fleet electrification and site energy rather than an AI assistant for planning tasks. In two posts, Pickford explains how electric buses can be charged flexibly to absorb surplus renewable power, describes the First Bus trial with Optimo Energy, and lays out what a logistics microgrid needs: rooftop solar, batteries, smart charging, vehicle-to-grid and the right grid connection. They name the commercial constraint plainly: many sites cannot simply ask for more grid capacity because it is slow, costly or constrained. They also state the UK statistic that around 5% of warehouse roofs have solar, while the remaining roof space could support roughly 15GW. For a buyer seeking depot power, charging strategy or the investment case for electrification, that practical specificity is closer to the task than Comodikes's routing software test. They are the better choice when the subject is AI-assisted planning and a working comparison against established routing software.
- Burton White: Choose Burton White over Christopher Comodikes when the campaign is about capturing experienced planners' and logistics operators' judgment in operational systems, or reaching a veteran practitioner audience. White states forty years in the business and opens his posts from that vantage point: people who could sense a bearing about to fail across the warehouse floor, and carrier reps who would pick up the phone at ten at night, none of which made it into the succession binder. He frames the problem as structured data, trusted analytics and unstructured judgment, a model he calls K³, and says he wrote a three-part RapidCanvas series on moving that judgment from someone's head into operational infrastructure. He also describes a recurring delay for logistics providers: the answer already exists in the TMS, WMS or a colleague's memory, but is filed around loads and lanes rather than the way a client asks, so it arrives a day late. That diagnosis of knowledge capture and retrieval complements Comodikes's focus on routing systems and makes White a strong starting point for campaigns about institutional memory, customer service responsiveness or bringing a new planner up to a senior planner's standard.
- Eva Ponce: Choose Eva Ponce over Christopher Comodikes when the engagement needs academic standing, an education audience and structured teaching material rather than a practitioner's software trial. Both posts centre on the MITx MicroMasters Program in Supply Chain Management webinar "From Supply Chain Analytics to Agentic AI" with Vijay Sankararaman of Novant Health, covering the shift from predictive analytics and machine learning to generative and agentic AI, with real-world cases in forecasting, inventory management and procurement. The follow-up post reports live poll results from a global audience of almost 900 attendees, including 482 responses on which skills matter most and 538 on where supply chain professionals currently use AI, and closes on lifelong learning. For a software company addressing which skills planners will need, where AI is being used today, or how to reach supply chain professionals through an educational format, that combination of institutional framing, named guests and audience data is a better fit than Comodikes's account of a single internal routing comparison. They are the stronger choice when the buyer wants someone who has tested an AI assistant against their own planning software and will describe the friction.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/