Now a days AI is the latest thing and is very useful in many ways. it will be very useful if an AI integration is provided even adding an AI layer like High radius or Growthfin might help
Hello @Pandeys_Fasteners,
AI is already included in Manager as an Extension such as in the Theme Enhancer function as well as some third-party data entry automations.
There are some other areas where AI is being considered such as Batch operations
Although I’m not against AI automations in Manager but I’m not for forcing AI to the end user as a layer. I believe this will have a negative effect on the user experience, overall.
I think the best way to incorporate AI is as an extension, which is already in place as we speak.
@Pandeys_Fasteners, in addition to what’s been discuss, where else do you want to see an AI helper?
The first step is to develop proper API which will make it trivial for anyone to create new extensions using AI. Manager API, the way it currently exists, cannot do absolutely everything that main app can do but I’m working on this.
In the long-term, I want to keep Manager.io strictly system of record app. So you won’t see built-in AI features. But it will be possible to augment Manager with additional features which can be made using AI or those features can have AI capabilities.
@Lubos I Suggest if these can be done it will be helpful in many ways
AI Credit Risk Scoring System
It tracks:
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Purchase frequency
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Payment delay pattern
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Bill size vs payment consistency
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Outstanding aging
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Seasonality
Then it auto-classifies clients:
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Safe (30–45 days) -
Moderate risk (strict 30 days) -
High risk (advance only / reduced limit) -
2. AI for Inventory Optimization (Dead Stock Killer)
Fastener trading always has:
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Slow moving stock
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Size confusion
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Excess of one spec
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Shortage of fast-moving SKUs
Build:
AI Demand Prediction DashboardIt predicts:
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Next 60–90 day demand
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Which SKUs to reorder
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Which stock is dead
Smart Follow-Up System
AI sends automatic reminders:
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Payment due reminders (polite but firm tone)
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Reorder reminders based on past purchase cycle
Example:
If client buys every 40 days,
AI reminds him on day 38.4. AI Pricing Intelligence (Margin Maximizer)
Most traders price emotionally.
Instead, use AI to analyze:
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Historical buying price
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Supplier fluctuations
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Client sensitivity
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Market demand pattern
AI for Smart Client Profiling
Build customer segmentation:
Type | Behavior | Strategy |
- | - | - |
Bulk Consistent | Predictable | Give loyalty discounts |
High Volume but Late Pay | Risky | Reduce credit |
Small but Fast Payment | Valuable | Increase relationship |
Irregular | Low priority | Minimum effort |
AI can classify automatically monthly.
6. Internal Automation (Reduce Staff Dependency)
You can automate:
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Quotation generation
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GST invoice drafts
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Purchase order comparisons
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Vendor price analysis
Upload supplier rate sheets → AI compares → suggests cheapest vendor.
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