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BEGIN:VEVENT
UID:20260913T073318Z - 25317@eupp202
DTSTART;TZID=America/Chicago:20260819T110000
DTEND;TZID=America/Chicago:20260819T114500
CREATED:20260913T073318Z
DESCRIPTION:<a href="https://nalios.com/event/4-ai-workflows-for-your-odoo-
 141">4 AI workflows for your Odoo</a>\nJoin our live stream via: LinkedIn 
 : https://www.linkedin.com/company/nalios-us Facebook: https://fb.me/e/44j
 W86vsG YouTube: https://www.youtube.com/@Nalios Your Odoo already holds th
 e answers. What eats the week is everything that happens before you reach 
 them: reading back through an email thread before a call\, checking whethe
 r a reorder point still makes sense\, noticing that a delivered order was 
 never paid. On Wednesday\, August 19\, Nalios US walks through four AI wor
 kflows that remove that layer\, live in Odoo. 01Where the time actually go
 es Ask a sales rep\, a buyer or a controller what slows them down\, and al
 most none of them will say "the software." They will describe the work tha
 t sits in front of the software. Before a client call\, someone reads elev
 en emails to remember where the conversation stopped. Before a purchase or
 der\, someone opens six months of history and forms an opinion. Before an 
 invoice gets chased\, someone has to notice it was never paid. None of tha
 t is judgment. It is retrieval\, cross-checking and manual entry\, and it 
 is where the hours disappear. That is the layer AI is genuinely good at re
 moving today. Not the decision. The preparation of the decision. 02The fou
 r workflows we will demo live Four use cases\, shown in a real Odoo enviro
 nment. No slideware\, no mockups. 1 · From email thread to CRM opportunit
 y A full prospect correspondence gets summarized and pushed onto the oppor
 tunity\, so the context lives in the CRM instead of in one person's inbox.
  The workflow then proposes next activities based on what was actually sai
 d in the last exchange\, rather than on a generic follow-up cadence. 2 · 
 Reorder rules that keep up with reality Reorder points tend to be set once
 \, then quietly drift out of step with demand. Here\, order volume history
  is read to propose adjustments\, and anomalies are flagged for a human lo
 ok: a sudden spike worth [...]
DTSTAMP:20260913T073318Z
LOCATION:https://www.linkedin.com/company/nalios-us
SUMMARY:4 AI workflows for your Odoo
X-ALT-DESC;FMTTYPE=text/html:<a href="https://nalios.com/event/4-ai-workflo
 ws-for-your-odoo-141">4 AI workflows for your Odoo</a>\nJoin our live stre
 am via: LinkedIn : https://www.linkedin.com/company/nalios-us Facebook: ht
 tps://fb.me/e/44jW86vsG YouTube: https://www.youtube.com/@Nalios Your Odoo
  already holds the answers. What eats the week is everything that happens 
 before you reach them: reading back through an email thread before a call\
 , checking whether a reorder point still makes sense\, noticing that a del
 ivered order was never paid. On Wednesday\, August 19\, Nalios US walks th
 rough four AI workflows that remove that layer\, live in Odoo. 01Where the
  time actually goes Ask a sales rep\, a buyer or a controller what slows t
 hem down\, and almost none of them will say "the software." They will desc
 ribe the work that sits in front of the software. Before a client call\, s
 omeone reads eleven emails to remember where the conversation stopped. Bef
 ore a purchase order\, someone opens six months of history and forms an op
 inion. Before an invoice gets chased\, someone has to notice it was never 
 paid. None of that is judgment. It is retrieval\, cross-checking and manua
 l entry\, and it is where the hours disappear. That is the layer AI is gen
 uinely good at removing today. Not the decision. The preparation of the de
 cision. 02The four workflows we will demo live Four use cases\, shown in a
  real Odoo environment. No slideware\, no mockups. 1 · From email thread 
 to CRM opportunity A full prospect correspondence gets summarized and push
 ed onto the opportunity\, so the context lives in the CRM instead of in on
 e person's inbox. The workflow then proposes next activities based on what
  was actually said in the last exchange\, rather than on a generic follow-
 up cadence. 2 · Reorder rules that keep up with reality Reorder points te
 nd to be set once\, then quietly drift out of step with demand. Here\, ord
 er volume history is read to propose adjustments\, and anomalies are flagg
 ed for a human look: a sudden spike worth [...]
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