When stock counts are off, receipts are late, and exceptions pile up, your team spends the day chasing numbers instead of keeping inventory moving. AI agents help you clear mismatches faster, follow up on missing updates, and keep replenishment and count work from slipping through the cracks.
The same day, but with less chasing, fewer missed updates, and cleaner handoffs.
No engineering team required. Go from idea to running agent in minutes.
Tell the agent what it should do — in plain language. Or choose from a library of ready-made agent templates built for your industry. No code, no configuration files.
Link your email, CRM, spreadsheets, Slack, or any other tool with one click. The agent reads, writes, and acts across all your connected apps automatically.
Hit start. Your agent runs 24/7 and sends you a clear summary of everything it did — what it found, what it acted on, and what needs your attention.
From the first trigger to the final update, the work stays tied to the way inventory teams already operate.
The agent picks up the mismatch, checks the item, location, and recent movement, and groups it with related exceptions so the team does not start from scratch.
The agent drafts the follow-up using the details already on hand and sends it to the receiving clerk, warehouse lead, or site contact that needs to answer.
The agent checks urgency, open work, and available stock, then ranks what needs attention first so the team does not waste time on low-impact tasks.
The agent updates the running log with what changed, what was resolved, and what still needs action so the next shift starts with a clean handoff.
The agent pulls the day’s counts, exceptions, follow-ups, and unresolved items into a simple summary that shows where the team lost time and where action is still needed.
Built around the work your team already does: counts, exceptions, replenishment, handoffs, and daily reporting.
Takes count variances, receipt gaps, and adjustment notes as input, then sorts and groups them when exceptions appear during the shift.
Uses missing receipt details, transfer notes, or unresolved count items to draft follow-ups when a response is needed from another shift or site.
Reads low-stock alerts, pick-face shortages, and open work queues, then ranks replenishment tasks when stock needs to move.
Takes count schedules, location lists, and prior discrepancies, then builds the next count list when the team is planning the day.
Uses completed actions, open exceptions, and unresolved follow-ups to compile the handoff note when the shift is ending.
Pulls daily counts, exceptions, and resolution notes into a summary when managers need a status update or end-of-day report.
See how we stack up against manual work and every other automation tool on the market.
One-click connections. No API keys, no developer setup required.
Use AI agents to handle the repetitive inventory follow-up, exception tracking, and status chasing that slows your team down every day.
Directional results from removing repetitive inventory admin, not from changing how your operation runs.
"We stopped losing half the shift to chasing missing updates and rewriting the same notes."
Questions owners and operators usually ask before they let AI agents into day-to-day inventory work.
If your team is still sorting exceptions, chasing missing updates, and rebuilding daily reports by hand, now is the time to fix it before the backlog grows. See how AI agents can clean up the repetitive work that slows inventory operations down every shift.