An e-commerce store owner with over 1,000 SKUs seeks inventory management software with specific capabilities:
Key Requirements:
Identify slow-moving or dead stock within customizable time periods
Forecast reorder timing and stock levels using historical sales data
Project demand changes based on increased site traffic
Track and analyze product return rates
Provide an accessible dashboard for key metrics
Recommendations Offered:
Inventory Planner was suggested as the primary solution, offering slow-moving product identification, forecasting based on historical data, demand estimation for traffic changes, integration with return apps (Loop, Returnly), and a comprehensive dashboard
Report Pundit mentioned as an alternative for deeper analytics and custom reporting
A startup specializing in demand forecasting expressed interest in understanding the specific challenges, noting that unique inventory problems often require tailored solutions beyond standard tools
The discussion remains open with no final decision indicated.
Summarized with AI on October 27.
AI used: claude-sonnet-4-5-20250929.
Hi, I have an e-commerce store with over a 1,000 SKUs. I need an application to help better manage the stock. Including:
It is very easy to identify best sellers, however some product that does not sell efficiently is not as easily identified, I would like the software to let me know what isn’t selling or is slow within a specified time perimeter.
Forecasting reorder time frames and stock level required based on historical data. Ability to forecast demand should site visits increase.
To incorporate return info to understand which product is most returned.
Does anyone have a recommendation, ideally one that produces a dashboard for easy to access metrics.
For deeper analytics or custom reports (like return rate, product aging, etc.), Report Pundit is also a great option.
If my answer was helpful to you, please consider accept and like it.
We’re currently building a startup in the demand forecasting space. We’re still early, but already starting first pilots with selected shops.
Your post highlights exactly the kind of challenges we’ve seen elsewhere, and from our experience, these problems are often so unique that they require more tailored solutions than what typical one-size-fits-all tools offer.
We’d love to better understand your situation and explore whether we might help down the line. No pitch - just an open exchange.
I read through your requirements, specifically the need to easily identify slow-moving products (“dead stock”) and get accurate reorder forecasts based on your historical data.
I am Johannes from P&H Cloud Solutions. We developed Logistified Inventory Planning exactly for this purpose—to offer a powerful forecasting tool without the high enterprise-level costs.
Based on what you are looking for, here is how Logistified fits:
Dead Stock & Slow Movers: Our customizable dashboard and tables allow you to filter products by sales performance over specific periods. This makes it very easy to spot items that aren’t selling so you can take action.
Forecasting: We use AI models (including season-aware algorithms) to analyze your sales history, predict stockout dates, and recommend exactly when and how much to reorder.
Reporting: You can set up custom views and receive daily inventory reports directly in your inbox to keep track of your key metrics.
We are extremely competitively priced, starting at just $12/month. We believe advanced inventory intelligence shouldn’t cost a fortune.
We also pride ourselves on our support. If you have questions about the app or need help setting up a specific “Dead Stock” report view during the setup, you can always reach out to our support or to me directly.
Hey there! Managing inventory across so many SKUs can definitely feel overwhelming.
Shopify’s built-in reports can help you spot your best sellers and track basic inventory metrics, but when it comes to highlighting slow movers, forecasting reorder needs, and factoring in returns all in one dashboard, you might find them a bit limited.
A great solution for what you’re looking for is Mipler reports. Mipler makes it really easy to:
Pinpoint dead stock and slow movers by customizing time periods and filters,
Use historical sales data to build forecasting reports (including adjusting for increased site visits),
Analyze returns and see which items are most frequently sent back,
And put all of this onto a clear, easy-to-navigate dashboard.
You can check out Mipler on the Shopify App Store to see how it might fit your workflow! Let me know if you need any more details or want to see some report examples.
For what you’re looking to do, there are a few strong options:
1. Inventory Planner – Excellent for forecasting, replenishment planning, and identifying slow-moving or overstocked products. One of the best choices for demand planning based on historical data.
2. Report Pundit / Mipler – Both provide advanced, customizable reporting dashboards, including return analysis, product-level insights, and forecasting-related metrics.
3. Reportgenix – A great option if you want a clean, visual dashboard plus flexibility. Along with ready-made product performance and return analytics, Reportgenix also lets you build custom reports to your exact inventory data, date ranges, and internal metrics — without needing any technical setup.
