CHATBOTS

Cycle-Count Discrepancy Reporter via Teams

A worker reports a counted quantity for a bin in Teams; the bot compares it to the Airtable system count, logs any variance.

CategoryChatbots
Enginesim
Difficultyintermediate
Triggerchat
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWorker submits a physical count in TeamsMicrosoft Teams
  • ActionParse SKU, bin, and counted numberOpenAI
  • ActionRead expected count and log actual in AirtableAirtableAirtable
  • LogicCompute variance against tolerance
  • OutputConfirm count or escalate variance in TeamsMicrosoft Teams

What it does

During cycle counts, a worker tells the bot the SKU, bin, and the number they physically counted. The bot pulls the expected quantity from Airtable, computes the variance, records the count, and pings the inventory lead in Teams whenever the gap is big enough to matter.

When to use it

Use it to make cycle counting paperless and to surface shrinkage or misplacement the moment it's found, instead of in a spreadsheet reconciled days later. Good for operations running rolling counts rather than a single annual freeze.

How it works

  1. 1A worker submits a physical count for a SKU and bin in Teams.
  2. 2An OpenAI step parses the SKU, bin, and counted number from the message.
  3. 3The flow reads the expected on-hand quantity from Airtable and writes the counted value to a count-log table.
  4. 4A logic step computes the variance and tests it against a tolerance threshold.
  5. 5If the variance exceeds tolerance, the bot direct-messages the inventory lead with the details; otherwise it just confirms the count to the worker in Teams.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Microsoft TeamsChannels, chats, files.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect AirtableBases, tables, views, automations.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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