𝐖𝐡𝐲 𝐋𝐨𝐠𝐢𝐬𝐭𝐢𝐜𝐬 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐀𝐫𝐞 𝐃𝐫𝐨𝐰𝐧𝐢𝐧𝐠 𝐢𝐧 𝐃𝐚𝐭𝐚

Why Logistics Ops Still Rely on Spreadsheets—and How AI Can Fix Siloed Dashboards (with Deepak Hedge, Valuezen.ai)

In this episode of Tales of Logistics, I discussed with Deepak Hedge, CEO and founder of Valuezen.ai, about why operations teams still rely on scattered spreadsheets and dashboards even with WMS, TMS, and ERP systems.
Deepak explains that silos arise when teams must manage orders and deliveries across multiple customers, vendors, and systems, increasing reconciliation work and errors as scale, demand volatility, and staffing changes grow.
He outlines the operational costs of tribal knowledge and training, often taking four to six weeks for system-heavy roles, and describes how AI can reconcile reports, produce deterministic outputs, and deliver insights for decisions such as SLA breach attribution and penalty disputes.
He shares Valuezen.ai use cases including manpower forecasting, carrier invoice reconciliation, compliance risk prediction, and warehouse put-away error detection, and advises leaders to experiment, narrow problems to high-impact workflows, and adopt resilient, scheduled automation even with intermittent connectivity.

00:33 Welcome and Guest Intro
00:45 Why Data Silos Persist
03:05 When Dashboards Become Liability
04:49 Training Costs and Tribal Knowledge
07:36 How AI Reconciles and Decides
11:21 Why AI Adoption Is Hard
13:13 Valuezen Approach and Use Cases
19:29 AI and Job Security
22:04 Advice for Leaders to Start
24:01 AI in Low-Internet Markets
26:11 Summary and Closing Thoughts

#TalesOfLogistics #AI #LogisticsRevolution #warehouse #management #operations #technology #database

Видео 𝐖𝐡𝐲 𝐋𝐨𝐠𝐢𝐬𝐭𝐢𝐜𝐬 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐀𝐫𝐞 𝐃𝐫𝐨𝐰𝐧𝐢𝐧𝐠 𝐢𝐧 𝐃𝐚𝐭𝐚 канала Tales Of Logistics