Gloo / Applied solutions
Explore an agent-monitored dispatch and interactive models for slotting, picking and replenishment. Gloo combines data, analysis and actions with your systems.
Gloo in an operation
Today, a critical dispatch means checking systems and chasing confirmations. The owner defines what Gloo should monitor; the platform follows it through closure.
The owner specifies the operation, deadline and condition that requires a response.
Gloo reads authorized changes in the TMS, WMS or ERP and retains the context.
When the condition occurs, it alerts the owner; if they do not respond, it follows the defined escalation path.
Events, messages, decisions and closure stay in one history.
Applied analytics
The people who know the process ask the questions. Gloo brings the data together, lets them explore scenarios and explains the results so they can decide without coding or advanced statistics.
Use a low-code visual builder to drag components into interactive dashboards and pages connected to your databases or external sources.
Use Python and statistical libraries to calculate costs, simulate scenarios and create tailored visualizations.
Agents with language models point out patterns in those analyses, explain the results and help teams assess decisions using their operational knowledge.
01 / Interactive model
Open the model to compare scenarios and see how an agent interprets the data and suggests decisions.
02 / Interactive model · fictional data
Simulate order lines, capacity per pick face and reserve-to-pick visits. The model gives fast-moving items more faces when doing so reduces visits without exceeding rack capacity.
Replenishment visits per shift
142 → 38
Partial view · 4 of 8 modules
Questions you can answer
01
Which activity or resource drives cost and where to intervene.
02
Workload across receiving, picking, packing, dispatch and transfers.
03
Turnover, dwell time, shrinkage and obsolescence risk.
04
Locations, travel distances and 3D layout alternatives.
05
Demand and activity concentration by product or area.
Use cases
Explore an ecommerce operation with two agents alongside customer support and logistics monitoring cases. In each one, agents check data, take action and make their work visible.
We review what starts it, where the data lives, which rules apply, what the agent may do and when a person steps in.
