Operations 10 min read

8 tips for effective warehouse management

Every Indian warehouse has the same five problems: GRN on paper, FIFO as policy but not practice, picking from memory, annual stocktake shutdowns, and no KPIs until something goes wrong. These 8 tips address each one — with what to do, not just why it matters.

10 min read Updated June 2026 Operations
8 tips at a glance
1
Fix the GRN process first
Inbound
2
Enforce FIFO at the scan, not just on paper
Picking
3
Replace annual stocktake with cycle counting
Accuracy
4
Use ABC analysis to prioritise controls
Inventory
5
Slot fast-movers close to dispatch
Layout
6
Standardise bin locations before anything else
Setup
7
Track 6 KPIs every week
Performance
8
Fix the process before you automate it
Strategy
Process first. Technology second. That's how Improsys approaches every implementation.

Why most warehouse improvement efforts fail

Most warehouse improvement projects focus on the wrong thing. They buy a software system, or rearrange the racking, or hire a consultant who produces a report — without first understanding why the current warehouse is performing the way it is.

In most Indian manufacturing and distribution warehouses, the underlying problems are the same regardless of industry: goods are received on paper and entered into the ERP later; FIFO is written in the SOP but not enforced at the pick; nobody knows which bin anything is in without asking the person who put it there; the annual stocktake shows a variance that takes weeks to reconcile; and warehouse performance is measured by intuition rather than data.

A WMS on a broken process produces faster broken results. Fix the process first — then automate it.

These 8 tips address the specific problems that show up in Indian warehouse operations. Each tip is specific and actionable — the aim is that you can take one tip and implement it this week. Not all 8 need to happen at once. Start with the one that describes your biggest current pain point.

Tip 01

Fix the GRN process first

The Goods Receipt Note (GRN) is the most important document in any warehouse. It is the moment at which stock officially enters the system — and it is the moment at which most warehouse accuracy problems begin.

The problem in most Indian warehouses

In the typical Indian warehouse, the GRN process works like this: the truck arrives, the store man unloads and counts the goods, writes the quantities on paper, compares them informally against the challan, signs the delivery document, and lets the truck leave. The paper receipt is then handed to the accounts department, who enter it into Tally or the ERP the next morning — or sometimes later in the week.

The problems this creates are immediate and compounding. If the delivery is short or has damaged goods, the truck is already gone by the time the discrepancy appears in the system. Lot numbers and expiry dates, if captured at all, are written on a register and never make it into the inventory system. And the time lag between physical receipt and system record means there is always a period when stock exists physically but not digitally — or vice versa.

What to do instead

1
Open the PO on the WMS before the truck is unloadedThe store man opens the corresponding Purchase Order in Fast WMS on an Android device before unloading begins. The system shows what was ordered, quantity expected, and from which supplier.
2
Scan each item against the PO line as it comes off the truckEach item is scanned. The WMS compares received quantity against ordered quantity in real time. Short deliveries flagged immediately. Lot numbers and expiry dates entered at scan — required fields, cannot be skipped.
3
GRN confirmed — ERP updated — truck driver notified of any discrepancies before leavingWhen GRN is confirmed, the purchase receipt posts to your ERP automatically. If there's a discrepancy, the supplier is notified with the truck still at the dock.

The result: zero time lag between physical receipt and system record. Discrepancies caught before the truck leaves. Lot numbers captured correctly at the source. And every GRN scan becomes an immutable ledger entry — traceable from receipt to dispatch.

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Real example: An automotive components manufacturer in Pune was recording GRNs on paper at the dock and entering them into Tally the next morning. On three occasions in six months, a short delivery was not discovered until the production line stopped waiting for parts. After implementing barcode GRN in Fast WMS — scan against PO, ERP sync at confirmation — the same store man now catches every discrepancy while the truck is still at the gate.
Tip 02

Enforce FIFO at the scan, not just on paper

FIFO — First In, First Out — is in the SOP of almost every warehouse in India. It is followed by almost none of them consistently, because it relies on the picker making the right decision rather than the system enforcing it.

Why FIFO policy fails

In a manual warehouse, the picker goes to the bin, sees three lots of the same item, and picks from the one at the front — which is the most recently received, not the oldest. The older lots are at the back. Nobody manually checks receipt dates and sequences them before picking. FIFO policy exists on paper. FIFO practice is a different matter.

For most items, the difference between picking the February lot vs the January lot is negligible. But for items with expiry dates — food, pharma, chemicals, rubber, lubricants — picking in the wrong sequence causes real damage: expired stock dispatched to customers, recall risks, rejected deliveries, financial and reputational cost.

The right way to enforce FIFO

FIFO enforcement requires two things to work together: correct lot capture at GRN (which Tip 1 addresses) and scan enforcement at pick.

FIFO as policy
SOP says pick oldest stock first
Picker decides which lot to take based on accessibility
Front-of-bin stock picked first — usually the newest
No validation — wrong lot reaches dispatch and customer
Compliance with FIFO depends entirely on individual discipline
FIFO enforced at scan
WMS generates pick list showing the correct lot (oldest by creation date)
Pick list directs picker to the exact bin and lot
Picker scans the pallet barcode — wrong lot scan rejected
Cannot confirm pick until correct lot is scanned
Compliance is a physical constraint, not a discipline question
❄️
FEFO for cold chain and pharma: For temperature-sensitive products, FEFO (First Expired First Out) is more important than FIFO. Fast WMS enforces FEFO by expiry date — the pick list offers the lot with the earliest expiry date, not the oldest receipt date. Lots that have already expired are excluded from pick lists automatically — they cannot be dispatched regardless of how the picker scans.
Tip 03

Replace annual stocktake with cycle counting

The annual physical stocktake is a fixture of Indian warehouse operations — often conducted at year-end, taking 2–3 days, halting all warehouse activity while every item is counted, reconciled, and adjusted. It is also the least efficient way to maintain inventory accuracy.

The problem with annual stocktake

By the time you discover a variance in an annual count, the cause is untraceable. Was the stock lost in July? In October? Was it a GRN error, a picking error, or a theft? A year's worth of transactions separates the count from the cause. And because the variance is discovered all at once, the adjustment is done in bulk — often with low confidence in the numbers.

Meanwhile, the 2–3 day shutdown costs both direct labour (staff counting instead of picking and dispatching) and opportunity cost (orders delayed or postponed around the count window).

Cycle counting — the better approach

Cycle counting counts a small section of the warehouse on a regular schedule — one bin group, one aisle, one product category — without stopping operations. Over a period of weeks or months, every section is counted. Discrepancies appear immediately, while the cause is still recent and traceable.

FactorAnnual StocktakeCycle Counting
FrequencyOnce a yearContinuously (daily or weekly sections)
Operations during countHaltedContinues normally
Discrepancy discovery12 months after the factDays or weeks after the cause
Variance traceabilityVery difficultTraceable — recent transactions
High-value item coverageOnce a yearA items counted monthly
Adjustment confidenceLow — bulk adjustmentHigh — specific, recent cause
Staff disruptionMajor (all hands for 2–3 days)Minimal (one area at a time)

The ABC approach to cycle counting

Not all items need to be counted with equal frequency. ABC analysis provides the framework:

A

A items — top 70% of inventory value

Count: Monthly

High-value items carry the greatest financial risk per unit of discrepancy. Errors here affect cash flow and financial reporting most significantly.

B

B items — 20–30% of value

Count: Quarterly

Moderate risk, moderate frequency. Often the largest group by SKU count.

C

C items — remaining value

Count: Bi-annually or annually

Low value per unit means low financial risk per discrepancy. Basic controls are sufficient.

📊
Fast WMS cycle counting: Fast WMS supports Annual, Quarterly, or Perpetual (cycle) stock counting — counted by bin, without shutting the warehouse. Important: the cycle count records the variance between physical and system count. The adjustment to stock is NOT automatically posted — it must be manually reviewed and approved first. This prevents inadvertent stock changes and ensures every adjustment has human sign-off.
Tip 04

Use ABC analysis to prioritise your controls

Not all inventory deserves the same level of attention. ABC analysis is the framework that makes this explicit — identifying which items account for most of the value, and directing tighter controls where the financial risk is highest.

The ABC principle

ABC analysis divides inventory into three categories based on value contribution — typically measured as total annual usage value (quantity × unit cost):

A items: typically 10–20% of SKUs, accounting for approximately 70% of total inventory value. These are your highest-value items — the ones where a counting error, a FIFO violation, or a picking mistake has the most significant financial consequence.

B items: typically 30–40% of SKUs, accounting for 20–30% of total value. Moderate controls required.

C items: the majority of SKUs by count, accounting for less than 30% of total value. Basic controls — periodic cycle counting and standard reorder triggers — are sufficient.

How to apply ABC in practice

1
Run the ABC analysis firstCalculate annual usage value per item (average monthly usage × unit cost × 12). Rank items from highest to lowest. The top items summing to 70% of total value are A items. Fast WMS includes ABC analysis reports — item valuation, customer ABC, and supplier ABC — as standard.
2
Apply tighter location controls to A itemsA items should be in named bin locations, counted monthly, subject to FIFO/FEFO enforcement, and included in any new WMS implementation first. Start with your A items — where the financial stakes are highest.
3
Slot A items and fast-movers near dispatchCombine ABC analysis with SKU velocity (rate of movement). Items that are both high-value and fast-moving belong closest to the dispatch area — where they are safest to manage and fastest to pick.
4
Review ABC classification quarterlyDemand patterns change — an item that was C-class a year ago may be A-class today if a new customer is ordering it heavily. ABC classification is not a one-time exercise; review it every quarter and update slotting accordingly.
📦
ABC in Indian context: For a steel and pipes distributor, SS Elbows 90° may be an A item — high unit value, high monthly movement. GI Pipe may be C — low unit value, slower movement. For a pharma distributor, high-value biologics are A; paracetamol tablets are C. Run the analysis on your actual data before assuming which items are A.
Tip 05

Slot fast-movers close to dispatch

Pickers in a typical warehouse spend 50–70% of their working time walking — to the bin, back to packing, to the next bin, back again. Most of that walking is driven by where items are stored, not by how many items need to be picked. Slotting — the decision about where each item lives — directly controls how far pickers walk.

The basic slotting principle

Fast-moving items (high-velocity SKUs) belong closest to the dispatch area. Slow-moving items belong further away. This single change — moving fast-movers to the front — reduces average pick travel without changing the warehouse layout, adding staff, or buying any technology.

The calculation is simple: if a picker makes 200 picks per shift and each pick requires 30 seconds less walking because the item is in a nearby bin rather than a distant one, that is 100 minutes saved per picker per shift. Across five pickers, that is over 8 hours of productive picking time recovered every day — without hiring anyone.

How to implement basic slotting

1
Pull your SKU velocity dataFrom Fast WMS fast-moving and slow-moving item reports, identify which items were picked most frequently in the past 90 days. These are your high-velocity items.
2
Map your current bin locationsIdentify which bins are closest to the dispatch dock and packing area — the "golden zone." These are the most valuable locations for frequent picks.
3
Move the fastest-moving items to the golden zonePhysically move high-velocity items to the closest bins. Update bin assignments in the WMS at the same time — the system must reflect the physical reality.
4
Review and update every quarterVelocity changes — products that move fast in Q4 may slow in Q1. A quarterly slotting review keeps the layout aligned with current demand patterns.

Beyond basic slotting

Advanced slotting also considers co-picking patterns — items frequently ordered together should be stored near each other, so the picker can collect both in one pass. Wave picking in Fast WMS already optimises the pick route (shortest path across bins) — but if the items themselves are far apart, the route optimisation can only do so much. Good slotting and good pick list optimisation work together.

🏭
India slotting reality: In most Indian warehouse operations, slotting was decided when the warehouse was set up and has never been revisited. Demand has changed, new products have been added, but the bin assignments remain as they were. A quarterly slotting review costs nothing but time — and the travel time reduction per picker is typically visible in the first week of the new layout.
Tip 06

Standardise bin locations before anything else

If there is one prerequisite for every other tip in this guide, it is this one. Bin location standardisation is the foundation on which every warehouse efficiency improvement rests. Without a consistent, named, scannable address for every storage position, nothing else works reliably.

What a bin location system needs

A bin location address needs three properties to be useful: it must be unique (no two bins with the same code), hierarchical (the code shows where in the warehouse the bin is, not just what it is), and scannable (a barcode label on the physical bin that the WMS can validate by scan).

The recommended format for Indian warehouses follows the Fast WMS hierarchy: Plant → Warehouse → Store → Aisle → Bay → Shelf → Bin.

A typical bin code looks like: 1102A11-B1 — Plant 1102 · Aisle A · Bay 11 · Shelf B · Position 1. This code is short enough to be readable by staff but contains enough information to identify the exact location within a multi-warehouse, multi-plant operation.

How to implement bin labelling

1
Define the hierarchyDecide how many levels your warehouse needs. A single store with 5 aisles and 10 bays per aisle might use: Aisle-Bay-Shelf-Bin. A multi-plant operation needs: Plant-Warehouse-Store-Aisle-Bay-Shelf-Bin.
2
Assign codes to every bin systematicallyNumber bays from 01 upward, shelves from A (bottom) upward, positions from left to right. Consistency matters more than the specific format — whatever format makes navigation intuitive for your staff.
3
Enter bin codes in the WMS Store MasterIn Fast WMS Store Master, enter each bin location with its code, store assignment, and capacity (kg and cubic metres). The WMS will print barcode labels for each bin from this data.
4
Print and mount bin barcode labelsEach label carries the bin code as human-readable text and as a barcode. Labels are mounted at eye level at each bin. The label is what the put-away and pick confirmation scans validate against.
5
Update bin assignments when stock is movedWhen stock is physically moved between bins (slotting review, rearrangement), the WMS must be updated at the same time. The WMS bin record and physical bin must always match — this is the discipline that keeps the system accurate.
🏷️
The most common mistake: Indian warehouses often have informal bin identification — coloured tape, handwritten numbers, or staff memory. This works when the same three people run the warehouse and know every location. It fails immediately when a new staff member joins, when multiple people pick simultaneously, or when the warehouse scales. Standardised bin codes are insurance against institutional knowledge walking out the door.

Want to see bin location tracking live in Fast WMS?

A 30-minute demo shows bin assignment at GRN, directed put-away, scan-confirmed picking from named bin locations, and the graphical bin map — live on your warehouse layout.

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Tip 07

Track 6 KPIs every week

Most Indian warehouses manage performance by feel — there are no numbers, only reactions to complaints. When a customer calls about a wrong delivery, that's when picking accuracy becomes visible. When the monthly Tally stock report doesn't match physical count, that's when inventory accuracy becomes a conversation. Managing this way means problems are always discovered after the damage is done.

Tracking the right KPIs weekly means problems are visible in the data before they become complaints.

The 6 KPIs that matter for Indian warehouse operations

Inventory accuracy98%+
(Items matching WMS record / Total items counted) × 100
Cumulative impact of all GRN, picking, and transfer errors — the overall health number for the warehouse.
Fast WMS reportStock Reconciliation Report / Cycle Count Report
Picking accuracy99.5%+
(Correctly picked items / Total items picked) × 100
Error rate at the pick step. Below 99% means customers regularly receive wrong items. Industry error cost: $10–75 per mistake.
Fast WMS reportPicker Accuracy Report (individual + team)
Dock-to-stock time< 2 hours
Time from truck arrival to stock available in system
Efficiency of the GRN and put-away process. Long dock-to-stock time = stock exists physically but not digitally — invisible to picking.
Fast WMS reportGRN Report (gate entry to put-away confirmation)
Inventory turnoverIndustry-specific
Cost of goods sold / Average inventory value
How efficiently inventory is converted to sales. Low turnover = overstocking, tied-up capital, slow-movers consuming space.
Fast WMS reportStock Valuation Report + Slow-Moving Stock Report
Space utilisation70–85%
(Bins occupied / Total bin capacity) × 100
Whether available space is used efficiently. Below 70% = inefficient slotting; above 90% = congestion. Guides slotting and expansion decisions.
Fast WMS reportWarehouse Utilization Report (kg/m³ used vs capacity)
Individual picker accuracy99.5%+
Per picker: (Correct picks / Total picks) × 100
Which pickers are making disproportionate errors — identifies coaching and training opportunities before errors reach customers.
Fast WMS reportPicker Accuracy Report (individual breakdown)

These six KPIs are all available directly from Fast WMS reports — no additional analytics layer required. The practice of reviewing them weekly takes 30 minutes and makes every warehouse management conversation data-driven rather than anecdotal.

Tip 08

Fix the process before you automate it

This is the tip that runs under every other tip in this guide — and it is the principle that Improsys applies in every warehouse engagement before recommending or implementing software.

A Warehouse Management System automates what the process does. If the GRN process is inconsistent before a WMS, the WMS will make it consistently inconsistent. If pickers ignore FIFO before a WMS, the WMS will produce detailed records of FIFO being ignored. If bin locations are undefined before a WMS, the WMS will enforce an undefined bin location system.

What process fixing looks like

Improsys approaches every warehouse engagement with consulting before software — specifically, the Lean/KAIZEN/value stream mapping methodology. Before any WMS implementation, the team:

1
Maps the current warehouse flowWalk every step from GRN to dispatch. Document what actually happens — not the SOP, what actually happens. Identify where decisions are left to individuals, where information is written on paper, where stock is moved without a system record.
2
Identifies waste and bottlenecksUsing value stream mapping, identify where value-added time ends and non-value-added time begins. Typical findings: 40–60% of time is non-value-added (walking, waiting, searching, re-entering data).
3
Designs the improved processRedesign the GRN flow, bin allocation logic, pick list generation, and dispatch sequence before software implementation begins. The WMS is configured to the improved process — not to the old broken one.
4
Defines Standard Operating ProceduresDocument what each role does, in what sequence, using which WMS screen, for each warehouse transaction type. SOPs become training documents and quality standards.
5
Implements WMS on the improved processOnly now does software go in — configured to the improved process, with staff trained on the SOPs, and KPIs defined to measure the new baseline.
We don't just sell you the tool. We help fix the process first — then we automate what we've fixed. That's the Improsys approach.

This is not a unique insight — it is the principle behind every successful ERP and WMS implementation, confirmed by decades of experience across manufacturing and logistics operations. But it is routinely skipped when the software sale is the primary objective. It is not skipped here.

🔍
Time study and work study: Improsys also conducts time studies and work studies in warehouse operations — measuring exactly how long each activity takes, where time is lost, and what the realistic throughput improvement is if specific bottlenecks are removed. This gives warehouse managers a data-driven baseline before implementation, and a measurable target to achieve after.

The order to implement these tips

If all eight tips feel like too much at once, here is a practical sequencing based on dependency:

Phase 1

Set the foundation (Weeks 1–4)

Tips 6 (standardise bin locations) + 1 (fix GRN process)

Every other tip depends on knowing where things are (bins) and having accurate inbound records (GRN). These two create the data foundation everything else relies on.

Phase 2

Control quality (Months 1–3)

Tips 2 (enforce FIFO) + 4 (ABC analysis) + 3 (cycle counting)

Once bins are labelled and GRN is accurate, FIFO enforcement and ABC-based counting become effective. Without accurate GRN data, FIFO cannot be enforced. Without bin locations, ABC slotting cannot be implemented.

Phase 3

Measure and improve (Month 3 onwards)

Tips 5 (slotting) + 7 (KPIs) + 8 (process-first thinking)

Slotting optimisation requires velocity data — which only exists after 8–12 weeks of WMS operation. KPI tracking becomes meaningful once the process changes of Phases 1 and 2 have stabilised. The process-first principle is ongoing — not a one-time step.

Part of the Warehouse Management Guide A series of practical guides covering warehouse management for Indian businesses.
Back to: What is Warehouse Management?

Frequently asked questions

What are the most important tips for effective warehouse management in India?
The eight most impactful tips for Indian warehouse management are: (1) Fix the GRN process first — switch from paper receipt to barcode scan against purchase order so discrepancies are caught while the truck is still at the dock, not days later. (2) Enforce FIFO and FEFO at the point of action, not just as a policy — without scan enforcement, pickers take whatever is most accessible regardless of age or expiry. (3) Replace the annual stocktake shutdown with perpetual cycle counting — count one bin group per day without stopping operations. (4) Use ABC analysis to focus attention on high-value items — A items (top 70% of value) need the tightest controls. (5) Slot fast-moving items near dispatch to reduce picker travel. (6) Track warehouse KPIs weekly — order accuracy, picker accuracy, inventory accuracy, dock-to-stock time. (7) Standardise bin location naming before anything else — a consistent address system (Bay-Shelf-Bin) is the prerequisite for every efficiency improvement. (8) Fix the process before automating it — a WMS on a broken process produces faster broken results.
How do I improve picking accuracy in my warehouse?
Picking accuracy improves through three specific changes. First, barcode scan confirmation at pick — without a scan that validates the correct item and lot, pickers make errors that only appear at dispatch or at the customer. Barcode scanning improves accuracy from 98–99% (manual) to 99.9–99.99%. Second, directed pick lists that tell the picker exactly which bin to go to and which lot to take — removing the decision from the picker removes the error. Third, dock scan validation before loading — every item scanned against the challan before the truck leaves catches any mispick that reached packing. Industry standard for picking accuracy is 99.5% or above. Each picking error costs between ₹800 and ₹6,000 in rework, re-dispatch, and customer relationship cost when the business is at fault (94% of businesses cover these costs).
What is cycle counting and why is it better than an annual stocktake for Indian warehouses?
Cycle counting is a method of counting inventory in small sections on a regular schedule — one bin group, one product category, or one zone at a time — without stopping warehouse operations. An annual stocktake counts everything at once, typically requiring a warehouse shutdown of one to three days. Cycle counting is better for most Indian warehouses for three reasons: it finds discrepancies immediately rather than twelve months later when the cause is no longer traceable; it keeps operations running during the count; and it allows high-value items (A class) to be counted monthly while low-value items (C class) are counted quarterly, allocating effort proportionally to risk. A Fast WMS cycle count records the variance between system and physical count — the adjustment is then manually reviewed and posted, ensuring no inadvertent stock changes go unreviewed.
What is ABC analysis and how does it help warehouse management?
ABC analysis categorises inventory items by their contribution to total inventory value: A items account for approximately 70% of total value (typically 10–20% of SKUs); B items account for 20–30%; C items account for the remaining value (typically the majority of SKUs but the smallest share of value). The practical application in warehouse management: A items require the tightest stock controls, most frequent cycle counts, highest location accuracy, and most careful FIFO/FEFO enforcement. B items need moderate controls. C items are managed with lighter controls. ABC analysis also informs warehouse slotting — A items and fast-moving items belong closest to dispatch to reduce pick travel. Fast WMS includes ABC analysis for items, customers, and suppliers — built into the standard reporting suite.
How do I standardise bin locations in my warehouse?
A standard bin location naming system gives every storage position a unique, scannable address. The recommended format for Indian warehouses is a hierarchical code: Plant code → Warehouse → Store → Aisle → Bay → Shelf → Bin (e.g., '1102A11-B1' for Plant 1102, Aisle A, Bay 11, Shelf B, Position 1). Each bin location is printed as a barcode label and mounted at the physical location. In Fast WMS, bin codes are entered in the Store Master — you define the hierarchy (Plant → Warehouse → Store → Bin) and assign capacity in kg and cubic metres per bin. Once bin labels are printed and mounted, every put-away, pick, and transfer is scan-confirmed against the bin code, ensuring the system always reflects physical reality.
What KPIs should I track in my warehouse?
The six most actionable warehouse KPIs for Indian manufacturers and distributors are: (1) Inventory accuracy — physical count vs WMS record, expressed as a percentage. Target: 98%+. (2) Order accuracy / picking accuracy — correctly picked items as a percentage of total items picked. Target: 99.5%+. (3) Dock-to-stock time — time from truck arrival at dock to stock available in the system. A WMS with barcode GRN reduces this from hours to minutes. (4) Inventory turnover — cost of goods sold divided by average inventory value. Low turnover indicates overstocking or slow-moving items consuming space. (5) Warehouse space utilisation — percentage of bin capacity in use. Under 70% suggests slotting inefficiency; over 90% creates congestion. (6) Picker accuracy — individual picker percentage, tracked by Fast WMS's Picker Accuracy Report. Allows identifying and coaching underperforming individuals before errors reach customers.
Should I fix my warehouse process before implementing a WMS?
Yes — with an important nuance. You should fix the fundamental process problems (unclear bin locations, paper GRN, no FIFO discipline) because a WMS will not fix them automatically. A WMS automates what the process does — if GRN is inconsistent before a WMS, it will remain inconsistent unless the GRN workflow is redesigned as part of implementation. However, you do not need a perfectly optimised warehouse to start WMS implementation. Improsys approaches this explicitly: consulting first (value stream mapping, standard operating procedure design, waste identification), then WMS implementation on top of the improved process. This is the Lean/KAIZEN approach applied to warehouse software — fix the process, then automate it.
How do I enforce FIFO in my warehouse?
FIFO (First In, First Out) is enforced in two stages. First, at GRN: every received lot is assigned a creation date (and expiry date for FEFO), a unique lot number, and a specific bin location. This data is the foundation — without accurate GRN capture, FIFO cannot be enforced. Second, at picking: the WMS generates a pick list that shows only the oldest lot for each item (FIFO) or the soonest-to-expire lot (FEFO). When the picker scans any other lot, the scan is rejected. This scan enforcement is the difference between FIFO as a policy (which pickers routinely ignore) and FIFO as a physical constraint (which the scanner enforces regardless of what the picker does). Fast WMS enforces FIFO by creation date (dtcreationdate ASC) and FEFO by expiry date (ExpiryDate ASC) — expired lots are excluded from pick lists automatically.

Ready to implement these 8 tips in your warehouse?

Fast WMS covers every tip in this guide — barcode GRN, FIFO enforcement by scan, cycle counting, bin tracking, ABC analysis, KPI dashboards, and the Lean consulting approach that fixes the process before automating it.

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