Technology

Locus CEO: How IKEA Acquisition and Agentic AI Are Transforming the Future of Delivery

Locus CEO: How IKEA Acquisition and Agentic AI Are Transforming the Future of Delivery

Sedat Onat
Locus CEO Nishith Rastogi explains the company's global logistics OS vision following its acquisition by Ingka Group, IKEA's parent company, discussing how agentic AI is transforming delivery networks, innovations such as tandem deliveries and route optimization, and the "dynamic supply chains" AI will create in the future.

Ingka Group's (IKEA Retail's parent company) acquisition of Locus marks a new era in last-mile delivery technology. CEO Nishith Rastogi says the acquisition is "a strategic move that accelerates Locus's long-term vision," and the company will maintain operational independence while continuing to grow globally.


IKEA's strategy: A single global logistics operating system

IKEA chose Locus because the platform combines:

  • Advanced route optimization,

  • Real-time visibility,

  • Intelligence in vehicle & resource utilization,

  • Agentic AI-based decision automation

capabilities in one platform.

Locus is preparing to synchronize all of IKEA's delivery models — home delivery, buy online pickup in store, curbside pickup, in-store logistics — within a single global OS.


According to Rastogi, tandem deliveries (large product + assembly team arriving at the home simultaneously) are a critical innovation that enhances the IKEA customer experience.


Additionally, Locus analyzes vehicle capacity in real time to optimize load factors, delivering quick results in both cost reduction and carbon footprint reduction.


What is agentic AI? What makes Locus different?

Rastogi explains agentic AI through three components:


1) Input – Software learns the user

While traditional software expects users to learn the system language, agentic AI understands user intent in natural language.
This makes technology much more accessible.


2) Environment – Makes its own decisions in uncertain environments

Classic systems work only within defined rules.
Agentic AI, however:

  • in uncertain scenarios,

  • with incomplete data,

  • under changing conditions

can make independent decisions. This is a major advantage in chaotic environments like logistics.


3) Output – Produces action, not just recommendations

A traditional system "reports the problem," and humans solve it.
Agentic AI "identifies the problem and solves it itself."

Example:
If there's an accident on a delivery route, the system instantly replans itself, without needing human intervention.


Real-world application: How agentic AI works in the field

According to Rastogi, the role of AI agents is quite clear:

  • Reduces manual decision-making

  • Optimizes routes on its own

  • Responds in milliseconds to changes like traffic, closures, accidents, and weather

  • Frees teams to focus on higher-level operations instead of planning

For example, even if Thursday's delivery plan is ready, if heavy traffic develops Thursday morning, the agentic system processes historical traffic patterns plus real-time data and executes automatic route updates across the fleet.

These small changes at the micro level generate hours of planning savings at fleet scale.


Predictive analytics + Agentic AI: Adapting instantly to change

According to Rastogi, companies still waste time relying solely on prediction-based systems.
For example:
New tariffs → new distribution network plan required.

Old way: forecast → analysis → decision → implementation
Today: agentic AI → instant reconfiguration

This prevents disruptions from having broad impact.


The hardest disruptions to plan for

  • Geopolitical shocks (tariffs, sanctions, wars)

  • Sudden shifts in consumer behavior

  • Delivery workforce fluctuations

  • The real impact of natural disasters

According to Rastogi, the solution is not forecasting:

"Build fundamentally flexible, self-adapting systems."

Will AI replace humans?

The answer is clear: No.
Real value comes from "augmentative" AI that enables people to focus on creative and strategic work.


The future of agentic AI: Living supply chains

According to Rastogi, the biggest transformation ahead will be:

  • Supply chains will cease to be static networks

  • They will transform into continuously self-optimizing dynamic systems

  • The rise of platforms like Etsy will increase pressure on localized 3PL networks

  • Direct-to-consumer shipping will grow

  • Agentic AI will become essential for local fulfillment


Key Takeaways:

  • The IKEA acquisition accelerates Locus's global AI logistics vision.

  • Goal: a single global logistics operating system.

  • Agentic AI: understands intent, works in uncertainty, produces its own actions.

  • Locus: route optimization + tandem delivery + capacity enhancement.

  • AI doesn't replace people; it relieves them of heavy lifting to elevate their work.

  • The future: static supply chains → living, continuously optimized networks.


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News Link: https://www.supplychain247.com/article/ikea-locus-ai-last-mile-delivery

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Author: SedatOnat.com

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