You will get an inventory forecasting and prevent stockouts using AI & Machine Learning
Rising Talent
Rising Talent
Project details
Stop losing sales due to stockouts and freezing cash in slow-moving inventory. Spreadsheets and manual calculations can't keep up with dynamic demand.
What I offer:
I run Mathesys Lab, and we offer Demand Planning as a Managed Service. Instead of hiring a full-time analyst to crunch numbers in Excel, we plug your data into Mathesys Norte, our proprietary purchasing planner. We handle the complex math; you get a simple, actionable list of exactly what to buy, how much, and when.
The Expected ROI (Based on our benchmarks):
• Reduce stockouts by up to 40% (preventing lost sales).
• Identify and recover up to 25% of capital tied up in low-rotation inventory.
• Cut manual forecasting time to near zero.
What you actually receive:
• This is not just a dashboard. You receive a clear Purchasing Plan that includes:
• Product/SKU to reorder.
• Exact recommended quantity.
• Confidence range.
• Alerts: Red (Imminent stockout) and Yellow (Overstock risk).
Client Requirements:
• Historical Data: At least 12 months of transactional sales data (Date, SKU, Quantity Sold, Store/Location).
• Stock levels per SKU.
• Lead times (how long it takes to receive goods) or POs dates.
What I offer:
I run Mathesys Lab, and we offer Demand Planning as a Managed Service. Instead of hiring a full-time analyst to crunch numbers in Excel, we plug your data into Mathesys Norte, our proprietary purchasing planner. We handle the complex math; you get a simple, actionable list of exactly what to buy, how much, and when.
The Expected ROI (Based on our benchmarks):
• Reduce stockouts by up to 40% (preventing lost sales).
• Identify and recover up to 25% of capital tied up in low-rotation inventory.
• Cut manual forecasting time to near zero.
What you actually receive:
• This is not just a dashboard. You receive a clear Purchasing Plan that includes:
• Product/SKU to reorder.
• Exact recommended quantity.
• Confidence range.
• Alerts: Red (Imminent stockout) and Yellow (Overstock risk).
Client Requirements:
• Historical Data: At least 12 months of transactional sales data (Date, SKU, Quantity Sold, Store/Location).
• Stock levels per SKU.
• Lead times (how long it takes to receive goods) or POs dates.
Machine Learning Tools
Google AutoML, Google Data Studio, SQLWhat's included $1,380
These options are included with the project scope.
$1,380
- Delivery Time 28 days
- Number of Revisions 3
- Number of Model Variations 1
- Number of Scenarios 1
- Number of Graphs/Charts 1
Optional add-ons
You can add these on the next page.
Complex Data Setup
(+ 10 Days)
+$2,500
Multi-Node
(+ 10 Days)
+$2,500Frequently asked questions
About Obed
Inventory Forecasting | Automated Purchasing Plan | Data Analysis
San Luis Potosi, Mexico - 2:11 am local time
I build mathematical models and cloud infrastructure that eliminate the guesswork from replenishment. My approach bridges the gap between operational workflows and technical implementation.
I do not just deliver dashboards; I deliver demand planning as a service. My algorithms structure your data to identify seasonality, flag slow-moving inventory (SLOB), and provide actionable reorder points based on real sales velocity.
Clients trust my systems to:
- Recover tied-up cash flow from excess inventory.
- Predict exact restock dates before running out of top-selling items.
- Transition from fragmented, manual spreadsheets to automated risk alerts.
If your data is incomplete or unstructured, my process begins with a comprehensive data audit to ensure our algorithms run on reliable inputs.
Send me a message with a brief overview of your current inventory software, and let’s discuss the fastest path to automate your purchasing decisions.
Steps for completing your project
After purchasing the project, send requirements so Obed can start the project.
Delivery time starts when Obed receives requirements from you.
Obed works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Audit
We review your data quality, detect anomalies, and establish the baseline metrics (current stockout rate, overstock value).
Integration
We connect your database/API.