Receiving and dock scheduling
ASN-based receiving with barcode or RFID scanning.
Dock appointment booking for carriers and suppliers.
Most delays start long before the pick. A pick face runs empty because replenishment waited for a batch job. A wave releases orders that crowd the same aisle. Labor sits in the wrong zone as the carrier cutoff approaches.
Svitla builds WMS software that plans work against real constraints: layout, labor, equipment, and carrier cutoffs. Receiving, putaway, replenishment, picking, and shipping share one live view of tasks. Supervisors see bottlenecks while there is still time to move people.
Multi-client warehouses that need per-client rules, inventory segregation, and activity-based billing.
High-volume, small-order operations with tight cutoffs, peak spikes, and daily returns.
Sites that feed production lines or stores, with kitting, cross-docking, and scheduled replenishment.
Labor drives 50% to 70% of warehousing costs, yet only 25% of operations actively manage it, according to Supply Chain Insights research with Easy Metrics. Much of that labor goes to walking, waiting, and rework the system could prevent.
We observe from receiving to shipping across normal and peak shifts. We time tasks and note every paper list and workaround.
Locations, equipment, client rules, and carrier cutoffs become a digital model the system can plan against.
We test each release against past order waves, including your busiest peak days.
We start in one zone or with one client, with our team on the floor and a fallback process ready.
We track picks per hour, dock-to-stock time, and order accuracy after launch, then adjust rules.
Below, Svitla shares a sample feature set that forms the core of a WMS solution. Each real-life use case is unique, so you should elaborate on the functionality and tailor it to your layout, order profile, and client or regulatory rules.
ASN-based receiving with barcode or RFID scanning.
Dock appointment booking for carriers and suppliers.
Assigns locations by velocity, dimensions, weight, and compatibility.
Supports cross-docking straight to outbound.
Recommends moves so fast movers sit closest to pack stations.
Re-slots by season or demand shift.
Triggers pick face refills from upcoming demand, not just min and max levels.
Prioritizes refills that would block the next wave.
Builds waves around cutoffs, zones, and equipment.
Supports pick-to-cart, pick-to-light, and voice picking.
Recommends carton sizes and checks packed contents.
Prints carrier labels and manifests through carrier APIs.
Enforces FEFO or FIFO rotation by rule.
Traces any lot to its orders for recalls.
Measures performance against engineered labor standards.
Forecasts labor needs by zone and hour.
Captures billable activities such as storage, handling, and value-added services.
Produces client invoices from the same activity data.
Answer a few simple questions to find out whether you should choose a custom solution or a pre-built WMS platform.
Do your pickers work from paper lists or basic scanning without directed tasks?
Do pick faces run empty during waves?
Do orders miss carrier cutoffs during peaks?
Do you serve several clients with different rules from one warehouse?
Do you track lots, serial numbers, or expiry dates?
Do you plan to add robots, conveyors, or other automation?
Has an off-the-shelf WMS forced your team into workarounds?
Do you bill clients for warehouse activities by hand?
Would AI slotting or labor forecasting change how you plan shifts?
Do you plan to open new sites in the next two years?
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Below, Svitla outlines the ROI factors a WMS solution typically affects. Results depend on your volumes, layout, and current processes, so model these using your own labor and accuracy data.
Shorter pick paths and fewer empty pick faces.
Less idle time between tasks.
Scan confirmation at every step.
Fewer returns and reshipments.
Receiving prepared from ASNs.
Inventory available for sale sooner.
Cutoff-aware waves.
Backlogs visible before they cause misses.
Slotting puts the right items in the right places.
Storage capacity grows without new square footage.
Every billable activity captured.
Fewer disputes and less unbilled work.
A WMS runs the physical world, so a software bug becomes a missed truck. It must work for staff wearing gloves, keep running when Wi-Fi drops, and handle peak days at several times normal volume.
We observe each process from receiving to shipping, across shifts and peak periods. We collect order history, item dimensions, and location data. We document client rules, regulatory needs, and carrier cutoffs. These become the baseline for design and ROI.
We model locations, zones, equipment, and travel paths. We clean item master data because wrong dimensions break putaway and carton selection. We design the task model that every process will share.
We build receiving, putaway, replenishment, picking, packing, and shipping as connected task flows. We design mobile screens with floor staff for speed and scan-first use. Offline mode keeps scanners working during network gaps.
We connect the ERP, order management, TMS, and carrier APIs. Where you run automation, we integrate conveyors, sorters, or robots through their control systems. We test each interface at peak volume.
We replay past peak days through the system to test waves, labor plans, and cutoffs. Then we pilot in one zone or for one client, with a fallback process ready.
We expand zone by zone or client by client. After go-live, we tune slotting, wave rules, and labor standards on live data. Each new site reuses the core with its own layout and rules.
A WMS for one warehouse with standard receiving, picking, and shipping flows typically starts around $70,000. A multi-site or multi-client system with labor management, automation integration, and AI slotting can reach $500,000 or more. Site count, automation, and client-specific rules drive most of the difference.
Want to understand the cost of your warehouse management system?
Calculate the costTell us about your sites, orders, and equipment. We’ll send you a tailored estimate for your WMS solution.
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What our clients say about us
Svitla Systems re-platformed GS1 Australia's MyGS1 member portal onto OutSystems in just six months, redesigning the UX for its 25,000 users and integrating external systems and a common data service. The overhaul modernized legacy architecture and now lets product and marketing teams make content updates without developer support.
Svitla Systems replaced MONSON's aging SaaS with MB2, a fully custom in-house shipping agency application built on the OutSystems low-code platform. Featuring an intelligent rules engine, automated documents, and multi-port estimators, it saves staff roughly two hours a day and won the 2022 OutSystems Innovation Award.
Svitla Systems partnered with Mondo to rapidly build the first iteration of a water-monitoring application, working from just a screenshot and wireframes. Integrating IoT usage data captured every 15 minutes, it tracks household usage, targets, and averages, and was delivered into users' hands for testing in a little over five weeks.
With 23 years of experience in engineering logistics software and practical knowledge of 10+ industries, Svitla offers full-cycle consulting and engineering services to deliver effective WMS solutions.
We assess your floor processes, data, and systems. You get a build, extend, or replace recommendation, a phased roadmap, and an ROI model based on your labor and accuracy data.
We design, build, and test your WMS, from receiving to shipping. Our teams cover mobile apps for floor staff, task engines, and ERP and carrier integration.
We audit your legacy WMS, paper processes, and spreadsheets, then plan the migration. We add what the old system lacked, such as dynamic slotting or labor forecasting. Cutover happens zone by zone, followed by inventory and accuracy validation.
We roll the WMS out across sites with different layouts and rules. Each site keeps its local setup, while leaders see network-wide inventory and performance.
We connect conveyors, sorters, pick-to-light, and mobile robots to the WMS. People and machines get tasks from the same plan.
We add engineers, QA, and support specialists to your in-house team, for peak season or long-term development.
Packaged WMS products work well for standard flows. Custom pays off when client rules, billing, special handling, or automation need workarounds the package can’t support. It also removes per-user license fees as your workforce grows.
Yes. The ERP stays the financial record of inventory. The WMS manages locations, tasks, and movements, and posts results back to the ERP.
Mobile apps keep working offline for scanning and task confirmation. Data syncs when the connection returns. The system flags any conflicts for a supervisor.
We test the system against your past peak days before go-live. We load-test waves, labor plans, and integrations at expected peak volume. Temporary staff get short, scan-first training.
Most tasks follow a scan, confirm, and move pattern, so new staff learn in hours, not days. We design screens with your team. Supervisors get separate training on planning tools.
Yes. Each client can have its own inventory rules, picking logic, labels, and billing rates. Client data stays separate, while you run one warehouse.
Each recommendation shows expected walking savings and the data behind it. Supervisors approve moves before they happen. We track picks per hour before and after each change.
Yes. We design the task engine so people and machines can share work. New automation connects through its control system without rebuilding core processes.
We migrate one zone or client at a time. We count and reconcile inventory before each cutover. We have a rollback plan for every step.