2026
7:00 PM
7:00 PM
1:30 PM
8:30 AM
As we look toward 2026, most large CPG organizations are entering a new phase of digital maturity. Core systems have been modernized, data foundations are stronger, and AI is beginning to influence decisions across parts of planning, supply chain, commercial, and customer operations.
While adoption varies by function and region, the direction is clear: AI is moving from isolated pilots toward broader operational use. Industry research from firms such as Deloitte and McKinsey & Company highlight that the next wave of value will come not from deploying more models, but from how effectively AI is integrated into day-to-day execution.
For CPG leaders, this shift reframes how speed, scale, and productivity are achieved. The focus now moves from deploying models to integrating AI into everyday work, supported by the right visibility, governance, and accountability across teams and markets.
Where are global CPG leaders focusing on, as productivity, speed, and resilience become top priorities - and AI adoption expands in day-to-day operations
How organizations are balancing efficiency, speed, scale, governance, and business risk across competing operational priorities.
How enterprises maintain visibility and control as AI becomes part of daily decisioning and execution.
How leading CPG organizations are approaching the next phase of operational maturity and the market signals shaping this shift.
Addressing practical friction points such as data fragmentation, workflow complexity, and sustaining human context as AI scales.
How visibility into how work actually happens - across teams, tools, and workflows - supports reliable execution, accountability, and sustained improvement foundational for scaling AI across operations.
A real-world demonstration of how Soroco enables enterprises to operationalize AI by revealing how work unfolds across people, processes, and systems.
7:00 PM
1:30 PM
8:30 AM
As AI becomes embedded into everyday operations, leaders need confidence in how work actually happens at the execution layer. Operational visibility provides the foundation for making AI effective, auditable, and scalable across the enterprise. This is the prerequisite for translating AI investment into durable operational performance.
| Cookie | Duration | Description |
|---|---|---|
| cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
| cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
| cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
| cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
| cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
| viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |