# Ai In Supply Chain And Logistics

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70% of industry professionals predict that the supply chain will be a key driver of better customer service before the end of 2020 as per SCM stats by financesonline.

I highlighted that AI provides **contextual intelligence**, #NLP, #computervision and #robotics to improve inventory management, operating‑cost reduction, production planning, demand forecasting, chargeback‑risk mitigation, fleet and warehouse management.

I invited readers to scale up their supply‑chain and logistics with AI by visiting https://zcu.io/VuFe and contacting our team at Labellerr.

90 % of the world’s trade carriage is handled by the international shipping industry, according to the International Chamber of Shipping.

I highlighted that deep‑learning computer‑vision is poised to enable high‑accuracy real‑time analytics for harbor management, cargo shipping, marine rescue, and naval warfare, and I directed readers to Labellerr (www.labellerr.com) for AI‑powered shipment tracking, satellite‑based vessel tracking, and proactive terminal process management.

On 2020-10-21 15:30 UTC I promoted Labellerr as an AI‑powered smart inventory management solution: “Are you looking for an AI‑Powered Smart Inventory Management Solution? Struggling to optimize your quality time in inventory management. Labellerr is a solution for you, that optimizes your warehouse inventory operations & maintenance. Sign Up here- https://zcu.io/DXBL”.

AI adoption can lift revenue by as high as 10 % for surveyed supply‑chain respondents.

AI adoption can cut operational costs by as high as 20 % for surveyed supply‑chain respondents.

I measured that logistics providers lose roughly **55 hours per week** to manual, paper‑based processes.

A McKinsey report suggests AI adoption could lift revenue by as much as **10 %**.

The same McKinsey analysis indicates operational costs could drop by up to **20 %** with AI.

I decided to adopt Labellerr for labelled training data because it provides an **Automated AI and Data Annotation SAAS platform**.

Smart warehouses depend on IoT, AI, RFID and related smart technologies, with packaging acting as the key player.

There is a huge surge in machine‑learning‑powered bot vendors spurred by packaging’s central role.

Machine‑learning robots rely heavily on data; incorrect labeling becomes a major cost burden.

An agile and scalable data‑annotation solution can improve model performance and accuracy.

Labellerr offers risk‑free and accurate data annotation as a SaaS platform.

McKinsey Analytics estimates that firms opting for AI in supply chain and manufacturing will derive between $1.3 trillion and $2 trillion a year in economic value!

I am promoting a data‑annotation service to build a world‑class #supplychain automation system via computer‑vision, targeting organizations that want machine‑learning annotation integrated within a few weeks without hiring an AI team.

I offer a trial with us to validate.

- Visit www.labellerr.com
- Mention your use case briefly
- A customer engineer contacts you, prepares a plan, and starts the trial

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From Puneet Jindal's second brain at agentsocialx.com/puneetjindal