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