The problem
Inventory that wasn’t selling had gone unnoticed within a much larger stockholding. Money was tied up in goods the business wasn’t moving.
At a major client, I identified $1 million in inventory that wasn’t moving. Today, I bring that same operational judgment to AI tools that connect inventory, sales and purchasing information, helping identify slow-moving stock before it goes unnoticed for months.
The business was focused on what was selling. Almost a hundred items had been sitting for months or years. I identified the overlooked stock, brought it to the CEO and helped turn it into cash.
Inventory that wasn’t selling had gone unnoticed within a much larger stockholding. Money was tied up in goods the business wasn’t moving.
I identified the overlooked inventory, brought it directly to the CEO and helped organize a focused, discounted online sale.
Within three weeks, the sale generated $500,000 in cash from the identified inventory. Goods that had been sitting idle became cash the business could put to work.
Planning means balancing demand, availability, supplier commitments and cash. When suppliers need orders at least six months ahead, connected information helps your team make better-informed decisions.
The client held around $2 million in inventory, covering over 1,000 items. Individual values ranged from about $20 to $100,000.
Suppliers required forward-order plans at least six months ahead. Balancing what sells, what is already in stock and how quickly it will move was the challenge.
Inventory tracking and forward-order planning had relied on spreadsheets and documents. The challenge was keeping the information connected as sales, stock levels and supplier requirements changed.
With advanced systems, the task is still to make sense of fast-moving, slow-moving and reusable items across sales, inventory and different suppliers.
Bring sales, stock movement, supplier information and ordering plans into a connected view.
AI can help flag gaps, highlight items building up and prepare ordering recommendations for review as conditions change.
The aim is to protect availability without buying more than you need. Your team keeps control of purchasing decisions, with less information to chase and earlier visibility of potential shortages or excess stock.
Today, I bring that operational experience to AI implementation, starting with what needs attention and choosing the approach that fits.
Let’s talk about your operation