One warehouse control tower for every brand you fulfill.
Inbound, Outbound, Cycle Count, and Returns — tracked at the FC level, across every brand and every order type you run through it, whether that's bulk B2B, single-unit B2C, or your own D2C storefront.
- Departments
- 4 covered
- Order types
- B2C · B2B · D2C
- Brands
- Multi-brand
- Coverage
- Dock to dispatch
What's included
Every department, one FC-level view
Built for a warehouse running more than one brand — where Inbound, Outbound, Cycle Count, and Returns each need their own depth, but leadership still needs one number per FC.
Inbound visibility
ASN, GRN, and QC tracked from truck arrival to putaway — with every discrepancy flagged the moment it lands, not at month-end audit.
Outbound SLA
Allocation, pick, pack, manifest, and dispatch tracked stage by stage, so a late order is caught at the stage that's actually slow.
Cycle count & accuracy
ABC-XYZ-driven count scheduling and a live variance ledger — inventory accuracy tracked as a number, not a quarterly surprise.
Returns & reverse logistics
Every returned unit graded — restock, refurbish, liquidate, or scrap — with recovered value tracked against the write-off.
Multi-brand FC rollup
One FC running four brands looks like four different operations on paper. This rolls them into one view without losing brand-level detail.
B2C, B2B, and D2C in one place
Bulk B2B dispatches, single-unit B2C orders, and D2C storefront fulfillment tracked side by side — not in three disconnected systems.
Possible automations
Automations for FC-level ops
A sample of what gets automated across a multi-brand FC — scoped to your departments, your brand count, and your order mix.
What actually changes
Where this moves your numbers
Not features for the sake of features — here's exactly what each one fixes for a multi-brand FC.
Every mismatch flagged the moment goods hit the dock — not 30 days later.
Instead of: ASN vs GRN mismatches surface at month-end audit, if at all.
ABC-XYZ-driven cycle counts run continuously, with a live variance ledger.
Instead of: Inventory accuracy is a quarterly surprise from a full physical count.
Every SLA breach traced to the exact stage — pick, pack, or dispatch — that caused it.
Instead of: A late outbound order gets blamed on 'the warehouse' with no idea which stage actually slowed it down.
Every return auto-graded — restock, refurbish, liquidate, or scrap — with recovered value tracked.
Instead of: Returned stock sits untracked until someone decides what to do with it.
One FC-level view, with brand-level detail still intact underneath.
Instead of: One FC running four brands looks like four separate operations on paper.
A custom email or WhatsApp alert fires the moment a process runs short-staffed, to whoever owns that call.
Instead of: Labor shortages get noticed only after a process backs up visibly, and the alert (if any) is a phone call.
Proof, not slides
Inbound to Returns, live
Interactive mini-builds on synthetic sample data — dock KPIs, order validation, production planning, cycle count, and returns grading, each running on its own.
Warehouse control tower
~2 minDock-to-stock time, throughput, accuracy, and dock utilization tracked live across every warehouse.
6
industrial KPIs, one screen per warehouse
Procurement → fulfilment trace
~2 minAny order, traced across all twelve stages from PR to delivery, with dwell time.
12
stages, one trace
Sales order intake & validation
~2 minTwelve rules fire on every incoming order batch before an SO ID is ever created.
12
validation rules, one pass
Parent-child production planning
~2 minA mini-MRP that finds the one component actually limiting today's build.
1
binding constraint, found instantly
Multi-location inventory ledger
~2 minA warehouse-by-SKU stock matrix with ageing, ABC-XYZ, and a movement trail per cell.
5×60
location × SKU matrix
Returns & RTO warehouse processing
~2 minEvery returned item graded, valued, and routed — restock, refurbish, liquidate, or scrap.
4
brands, one returns queue
Multi-warehouse manpower planning
~2 minThe real IPP-driven headcount formula — plus the two silent failure modes an Excel plan never catches.
₹
cost of the IPP gap, quantified
How the engagement works
Week by week, start to handover
Week 1
Discovery & scoping
Walk the floor across Inbound, Outbound, Cycle Count, and Returns — for every brand you run.
Weeks 2-3
Data & pipeline
Connect ASN/GRN, WMS, and returns data across brands and order types into one model.
Weeks 3-5
Build
The FC-level dashboards, grading logic, and manpower calculator, wired to real data.
Week 6
UAT & iteration
Warehouse leads run it against a live shift before it goes network-wide.
Weeks 6-7
Handover
Training for FC teams, documentation, and a clean handoff.
Get in touch
Still tracking orders in a spreadsheet?
Let's talk about what a control tower would look like for your operation — built around how your team actually works.
Book a free 15-minute session
No pitch — just 15 minutes to understand what you're trying to solve and whether a build like this actually fits. Share two times that work and I'll confirm one.