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Preventing User Mistakes by Using Machine Learning | PPTX
www.bistasolutions.com
Anomaly detection module
for
better inventory management
Preventing user errors in Odoo
with
Machine Learning
By
Faisal Basar, CTO, Bista Solutions
A survey by Peoplevox, found that 34% of businesses have delayed shipping because
the products mentioned in the order were not actually in stock.
According to a report by McKinsey & Company in 2019, about $385 billion
is spent each year, worldwide, on overall warehousing costs. And that amount doesn’t include
the additional costs of correcting errors and mistakes.
Some common user mistakes
Some common user mistakes
Your employees could also tag or
categorize items incorrectly
Tagging errors
Employees might not be familiar or well-
trained in your business and might make
mistakes
User familiarity issues
Sometimes users can make typing
mistakes while entering data
Human data-entry errors
Let’s dive deeper in common inventory errors
Miscounting of physical
inventory
Mistakes in dealing with
consignment inventory
Error in identification of
inventory items
Incorrect assigning of
costs to inventory
Incorrect quantity for
inventory transactions
Errors in cut-off
procedures followed during
the inventory count
How can our Machine Learning module help?
The module understands your inventory data patterns and registers them
in the system to keep a robust track of the usual quantities or amounts
that you generally operate your inventory with.
Understands your data
It uses machine learning to automatically identify anomalies in your data.
It identifies any entry that breaks this pattern and falls out of the purview
of your usual transactions, procedures and quantities.
Identifies anomalies in your data
Finally, it combs through vast amounts of your data to identify and alert
you for any rare items, events or observations. Once identified, it reports
these unexpected dips or spikes to you immediately.
Helps you prevent damage
How does our Odoo module work?
We train data with the existing set of transactions for
regularly used products and their locations
Data training
After this, we use the tested data, which is a matrix of current
stock moves.
Using tested data
This data is used to find a pattern of transactions from the
trained data to be compared to.
Understanding patterns
If the system notices any pattern being broken, it alerts the
user immediately
Alerts
01
02
03
04
What are the key advantages?
Prevents user mistakes
Can be a user training tool
Learns and scales
By alerting you against any anomalies
Across your warehouse to point out data entry mistakes
With the increase in your transactions as well as your
business needs
8
Users in
remote
locations
Shelf & system
mismatch
Barcode
tagging errors
Inventory issues were
peaking since some
users in remote
locations ended up
selecting wrong
products.
What was on the shelf is
different from what was
in the system since
users were entering
wrong products or wrong
product quantities after
they were moved from
shelves.
Errors in barcode
tagging were also
causing inventory
issues.
Customer Case Study
Some key roadblocks faced by the customer
9
Customer Case Study
Better visibility
Key results from the anomaly detection module
Avoiding human errors
Robust inventory management
Absolutely no inventory damages due to
user errors
01
02
03
04
Demo
Questions?
sales@bistasolutions.com +1 (858) 401-2332www.bistasolutions.com

Preventing User Mistakes by Using Machine Learning

  • 1.
    www.bistasolutions.com Anomaly detection module for betterinventory management Preventing user errors in Odoo with Machine Learning By Faisal Basar, CTO, Bista Solutions
  • 2.
    A survey byPeoplevox, found that 34% of businesses have delayed shipping because the products mentioned in the order were not actually in stock. According to a report by McKinsey & Company in 2019, about $385 billion is spent each year, worldwide, on overall warehousing costs. And that amount doesn’t include the additional costs of correcting errors and mistakes. Some common user mistakes
  • 3.
    Some common usermistakes Your employees could also tag or categorize items incorrectly Tagging errors Employees might not be familiar or well- trained in your business and might make mistakes User familiarity issues Sometimes users can make typing mistakes while entering data Human data-entry errors
  • 4.
    Let’s dive deeperin common inventory errors Miscounting of physical inventory Mistakes in dealing with consignment inventory Error in identification of inventory items Incorrect assigning of costs to inventory Incorrect quantity for inventory transactions Errors in cut-off procedures followed during the inventory count
  • 5.
    How can ourMachine Learning module help? The module understands your inventory data patterns and registers them in the system to keep a robust track of the usual quantities or amounts that you generally operate your inventory with. Understands your data It uses machine learning to automatically identify anomalies in your data. It identifies any entry that breaks this pattern and falls out of the purview of your usual transactions, procedures and quantities. Identifies anomalies in your data Finally, it combs through vast amounts of your data to identify and alert you for any rare items, events or observations. Once identified, it reports these unexpected dips or spikes to you immediately. Helps you prevent damage
  • 6.
    How does ourOdoo module work? We train data with the existing set of transactions for regularly used products and their locations Data training After this, we use the tested data, which is a matrix of current stock moves. Using tested data This data is used to find a pattern of transactions from the trained data to be compared to. Understanding patterns If the system notices any pattern being broken, it alerts the user immediately Alerts 01 02 03 04
  • 7.
    What are thekey advantages? Prevents user mistakes Can be a user training tool Learns and scales By alerting you against any anomalies Across your warehouse to point out data entry mistakes With the increase in your transactions as well as your business needs
  • 8.
    8 Users in remote locations Shelf &system mismatch Barcode tagging errors Inventory issues were peaking since some users in remote locations ended up selecting wrong products. What was on the shelf is different from what was in the system since users were entering wrong products or wrong product quantities after they were moved from shelves. Errors in barcode tagging were also causing inventory issues. Customer Case Study Some key roadblocks faced by the customer
  • 9.
    9 Customer Case Study Bettervisibility Key results from the anomaly detection module Avoiding human errors Robust inventory management Absolutely no inventory damages due to user errors 01 02 03 04
  • 10.
  • 11.
    Questions? sales@bistasolutions.com +1 (858)401-2332www.bistasolutions.com

Editor's Notes

  • #3 According to a study conducted by Wasp Barcode Technologies, 43% of small businesses either don’t track inventory or use a manual method.
  • #4 Human beings are always prone to making errors, however, if this happens, errors in your inventory can cause unprecedented disruptions in your supply chain. More often than not, it means that an unusual occurrence has taken place. This could be a human data-entry error, a tagging error or even corporate espionage. Ultimately causing major changes in your balance sheet and reflecting poorly on your finances and balance sheets. If your inventory balance is incorrect, it could in turn affect the cost of goods sold and profits, having dramatic effects on your business performance.
  • #5 Human beings are always prone to making errors, however, if this happens, errors in your inventory can cause unprecedented disruptions in your supply chain. More often than not, it means that an unusual occurrence has taken place. This could be a human data-entry error, a tagging error or an untrained employee. Ultimately causing major changes in your balance sheet and reflecting poorly on your finances and balance sheets. If your inventory balance is incorrect, it could in turn affect the cost of goods sold and profits, having dramatic effects on your business performance.
  • #6 Human beings are always prone to making errors, however, if this happens, errors in your inventory can cause unprecedented disruptions in your supply chain. More often than not, it means that an unusual occurrence has taken place. This could be a human data-entry error, a tagging error or even corporate espionage. Ultimately causing major changes in your balance sheet and reflecting poorly on your finances and balance sheets. If your inventory balance is incorrect, it could in turn affect the cost of goods sold and profits, having dramatic effects on your business performance.
  • #7 Human beings are always prone to making errors, however, if this happens, errors in your inventory can cause unprecedented disruptions in your supply chain. More often than not, it means that an unusual occurrence has taken place. This could be a human data-entry error, a tagging error or even corporate espionage. Ultimately causing major changes in your balance sheet and reflecting poorly on your finances and balance sheets. If your inventory balance is incorrect, it could in turn affect the cost of goods sold and profits, having dramatic effects on your business performance.