SrehFlow uses AI-powered forecasting and dispatch-risk prediction to give warehouse supervisors time to act — before delays become unavoidable.
Based in Hyderabad, India · CIN: U20299TS2024PTC183065
By the time problems surface, recovery options are limited and expensive.
Incoming orders regularly exceed available picking and packing capacity, creating cascading delays across zones.
Supervisors reassign workers only after queues have already grown, turning small delays into major bottlenecks.
Without early warning, teams lack visibility into which orders will miss their dispatch windows until it's too late.
Backlogs in individual zones silently delay downstream operations, compounding across the entire fulfillment chain.
Forecast incoming workload by shift, process, and warehouse zone. Predict orders that may miss carrier cutoffs.
Recalculate expected completion times as operating conditions change throughout each shift.
Spot picking, packing, and staging bottlenecks. Recommend task priorities and staffing adjustments.
Integrate with your warehouse management system while preserving established execution workflows.
Everything your warehouse team needs to shift from reactive firefighting to proactive operations management.
Estimate order volumes, work minutes, and capacity requirements for upcoming shifts across all warehouse zones.
Rank orders by predicted lateness, cutoff time, and operational priority to focus supervisor attention where it matters.
Track queue growth and capacity utilization across receiving, picking, packing, and staging operations.
Recommend staffing levels by zone, accounting for individual skills, shift availability, and scheduled breaks.
Compare planned versus actual performance across shifts and facilities with automated reporting.
Tenant isolation, role-based access control, data encryption at rest and in transit, and comprehensive audit logs.
Primary users: Warehouse managers, shift supervisors, fulfillment heads, and 3PL operations teams.
Five steps from raw warehouse data to supervisor-ready recommendations.
Import orders, scan events, shift schedules, processing rates, and carrier cutoffs through APIs or structured files.
Estimate processing capacity for each warehouse zone and operation based on historical and live data.
Calculate completion windows and flag orders at risk of missing dispatch before the deadline arrives.
Suggest task reprioritization, order-wave changes, or reassignment of qualified staff to high-pressure zones.
Refresh predictions using actual progress and record supervisor decisions for continuous improvement.
Before a 6:00 PM cutoff, a growing packing queue triggers a recommendation to move qualified staff from a lower-pressure zone, with estimated completion-time impact displayed in real time.
Purpose-built models that work together to forecast, simulate, and optimise warehouse operations.
Gradient-boosted models leverage order history, calendar patterns, and live arrival data to predict workload across shifts and zones.
Completion-time and lateness models use remaining tasks, queue lengths, and carrier deadlines to flag at-risk orders.
Discrete-event simulation tests how staffing changes or order-priority adjustments would affect warehouse queues before implementation.
Constrained optimization recommends staffing allocations that respect skills, shift limits, break schedules, and process capacity.
React + TypeScript interface. Python + FastAPI services. PostgreSQL, object storage, containerized with monitoring and versioned model releases.
Time-based test splits. Completion-time error measurement. Late-order alert precision tracking. Supervisor approval required before operational changes.
Start with Essential visibility and scale to full predictive planning as your operations grow.
Workload visibility, cutoff monitoring, and standard reports for single-facility operations.
Predictive alerts, staffing recommendations, and scenario planning for growing operations.
Advanced integrations, network reporting, and enterprise-grade support for multi-facility operations.
Annual contracts. Functionality and volume tiers. Expansion through additional facilities.
Explore workload forecasting and dispatch-risk prediction for your warehouse. Start with a structured pilot at one facility.
Our team will reach out within 24 hours to discuss workload forecasting for your warehouse operations.