The Operating System for AI-Native CPG Supply Chains
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2:00 PM – 7:00 PM
Mainstage conversations, customer/operator panels, keynote-style talks, and curated networking.
7:00 PM onward
Exclusive rooftop continuation for speakers, customers, investors, and invited guests.
Mainstage Program
The mainstage program will be designed around operator-led conversations, practical lessons, and forward-looking discussion on how CPG supply chains are changing.
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Welcome Coffee
A relaxed rooftop arrival with coffee until everyone has arrived and before the mainstage program begins.
Opening Remarks: The AI-Native CPG Supply Chain
A sharp opening on why CPG supply chains are moving from manual planning, spreadsheets, ERP exports, and inbox coordination toward intelligent orchestration and what it means when systems start helping teams execute, not just track work.
Operator Keynote: Scaling Through Complexity
Practical lessons from a senior CPG operator on scaling through demand volatility, SKU growth, channel expansion, supplier complexity, inventory pressure, and organizational change.
Interactive Session: Supply Chain Confessions
An audience-driven session surfacing the painful, manual, and surprisingly common workflows still running modern CPG supply chains, from spreadsheet-heavy planning to inbox-based coordination and ERP workarounds.
Sandwich Break & Rooftop
A relaxed rooftop break with sandwiches, snacks, and coffee, designed to help guests process the sessions, compare notes, and connect with peers facing similar challenges in planning, inventory, and execution.
Live Teardown: The Messy CPG Operating Systemive
A live case study unpacking the real tradeoffs behind a difficult operating week: demand shifts, co-man delays, stockout risk, shelf-life constraints, inventory imbalance, ERP mismatch, and working capital pressure.
Operator x AI Investor Panel: From Manual Coordination to Business Orchestration
A grounded conversation between a CPG operator and AI-focused investor on how AI could move from dashboards and copilots into real operational workflows across demand, supply, freight, co-mans, inventory allocation, and ERP execution.
Rooftop Reset
A short rooftop reset with non-alcoholic drinks before the final sessions — a breather between the operational deep-dives and the forward-looking AI block.
AI Operator Lab: What Should AI Actually Do in CPG Supply Chain?
A practical, interactive session on where AI should summarize, explain, recommend, draft, request approval, or execute across planning, replenishment, inventory, logistics, co-man coordination, and ERP workflows.
Agentic CPG Supply Chains in 2030
A forward-looking discussion on how AI agents could reshape planning, buying, logistics, inventory, coordination, and execution and what still needs human judgment, governance, and trust.
Closing Remarks
A tight summary of the day’s key ideas and a transition into the rooftop reception.
Rooftop Bar Reception
Drinks, light dinner, and curated conversations with CPG operators, founders, investors, and supply chain leaders, where the room turns into the network.
Who Is Attending
A curated room of CPG operators, supply chain executives, AI builders, and capital partners.
Spherecast Customers & Operators
Teams from Swanson Health, Feastables, Mammaly, and other leading consumer brands.
Private Equity & Growth Investors
Capital partners focused on CPG, operational improvement, and AI transformation.
AI Leaders & Infrastructure Builders
Builders and advisors shaping the move from software tools to autonomous orchestration.
The supply chain team needs a new operating layer.
CPG operators are facing more complexity, more channels, tighter inventory targets, and higher service expectations. The problem is not talent. The problem is that critical decisions are still scattered across spreadsheets, ERPs, emails, and tribal knowledge. AI can help teams connect the dots, simulate tradeoffs, recommend actions, and execute approved decisions faster. So the question for Sphereworld is simple: How can AI help supply chain teams operate with 10x more leverage?
Scaling CPG Supply Chains Across Company Stages
How supply chain design changes from early growth to national scale: when to add DCs, when to consolidate, when to insource versus outsource, and how to avoid operational drag as complexity increases.
Questions we’ll unpack:
- When should a brand scale from 1 DC to 5 DCs, and when is that the wrong move?
- How should supply chain design change across DTC, retail, Amazon, and wholesale?
- How does the operating model change from founder-led operations to a full planning organization?
- What breaks first when SKU count, channels, and retailer demands increase?
Building an Efficient Supply Chain Organization
How leading CPG teams structure planning, procurement, logistics, and execution without turning every growth problem into a headcount problem.
Questions we’ll unpack:
- What should stay human-led, and what should become system-supported?
- How can teams reduce manual coordination across planners, buyers, brokers, co-mans, and finance?
- How do supply chain, finance, and commercial teams align around one operating plan?
- Where are the highest-leverage bottlenecks in a scaling operations team?
From Planning Tools to Business Orchestration
The next frontier is not better dashboards. It is systems that understand demand, supply, inventory, capacity, and capital, then help teams execute approved decisions faster.
Questions we’ll unpack:
- How do teams move from forecasting and planning into execution?
- Which manual workflows are ready for automation, from PO follow-ups to freight booking, receipts, co-man reports, and supplier coordination?
- How can systems compare constraints, freight options, supplier tradeoffs, and inventory impact before a decision is made?
- What does it take to move from visibility to recommended action?
The AI Layer for CPG Operations
How AI becomes useful beyond chat: by sitting on top of real demand, supply, inventory, supplier, and production data.
Questions we’ll unpack:
- What data does AI need before it can support real supply chain decisions?
- How should operators think about trust, approvals, and execution rights?
- Where should AI recommend, where should it automate, and where should humans stay in control?
- What does the operating model look like when every supply chain operator has 10x more leverage?
Sphereworld is where the CPG supply chain community comes together to define the next operating model.
The future of CPG supply chain is not another dashboard. It is an intelligent orchestration layer that understands demand, supply, inventory, capacity, and capital, and helps teams execute faster, cheaper, and with more confidence.
Spherecast is building toward that layer, together with the operators who understand the problem best.