From waste to value, link by link.

Situation

A major e-commerce retailer's central operations warehouse in Poland faced significant capacity crunches, low productivity levels, and a severe deficiency in process standardization. Ownership of processes on the floor was unclear, leading to fragmented operations.

What We Did to Identify the Gaps

• Initiated the engagement by hosting collaborative engagement sessions (workshops) with floor operators and shift leaders to understand their daily pain points.
• Mapped out the core daily activities, highlighting where the lack of standard operating procedures (SOPs) caused significant delays.
• Through value stream mapping, identified that the absence of a continuous improvement culture was creating massive non-value-added time.

Solutions Proposed

• Recommended implementing Leadership Behavior Observation Survey (LBOS) tours, requiring leaders to conduct unplanned compliance tours on the operations floor.
• Proposed using Microsoft PowerApps to digitize these surveys by zone, enabling leaders to check operational teams' adherence to standards directly on their devices.

Action Plan

• Design and deploy a detailed continuous improvement program to elevate the operational excellence of the floor team.
• Set up zone-specific questions in PowerApps, with the ability to automatically email failure alerts to the respective area leaders.
• Assign a program manager to track the deployment of these leadership tours to ensure rigorous adoption.

Situation

The warehouse experienced extreme bottlenecks in inbound and picking processes due to the manual labor required to group, sort, and store multi-piece furniture sets. Master data was unstandardized, making system-directed putaway impossible.

What We Did to Identify the Gaps

• Conducted detailed process mapping of the receipt and outbound workflows across multiple warehouse zones.
• During engagement sessions with the master data and operations teams, used the "5-whys" approach to trace manual sorting delays back to the root cause: poor item data structures in the system.
• Value stream mapping clearly quantified the wasted labor hours spent on manual set collection versus direct storing.

Solutions Proposed

• Proposed a complete master data revamp to introduce standardized naming conventions and EAN structures (e.g., S-B-3 for a Blue, 3-seater Sofa).
• Recommended migrating all furniture sets to a "parent-child" master data setup within the product system (Salsify), allowing the WMS to store and ship based on individual child EAN codes.

Action Plan

• Create a dedicated Master Data team responsible for creating, maintaining, and auditing item data.
• Execute a yearly master data clean-up to delete old products and keep the system lean.
• Quantify the impact by measuring the time saved at receipt (set collection/arrangement) versus directly storing EANs.

Situation

The client was deploying a new WMS (Reflex) but relied entirely on an external third-party vendor for interface integration. This heavy reliance created a severe risk of knowledge loss and gave the external vendor unbalanced leverage over the client's internal tech team.

What We Did to Identify the Gaps

• Mapped the information flow and IT processes across all interacting systems.
• Held technical engagement sessions with internal IT leaders and the external vendor to assess the current handover process.
• Value stream mapping of the technical support process revealed critical knowledge gaps and single points of failure if the vendor were to become unavailable.

Solutions Proposed

• Proposed the immediate creation of a comprehensive Integration Blueprint to map how all interfaces interact.
• Recommended implementing a strong Business Continuity Plan (BCP) regarding the external vendor relationship to protect internal operations.

Action Plan

• Identify a clear internal "Leader of Integration" to own post-launch management of Reflex and all integrated systems.
• Mandate that the external vendor shares the Integration Blueprint with the internal tech team.
• Schedule frequent, regular reviews of the blueprint between both teams to ensure knowledge transfer and system security.

Situation

The receiving department was overwhelmed by unstructured arrivals. Goods lacked immediate system tracking upon unloading, causing lost inventory, facility congestion, and capacity planning failures.

What We Did to Identify the Gaps

• Observed the inbound docks and developed a current-state process map from truck unloading to put-away.
• Ran engagement sessions with dock workers and inbound supervisors, utilizing activity benchmarking to identify physical bottlenecks.
• Value stream mapping exposed the severe time delays caused by moving goods into generic buffer areas that lacked system visibility.

Solutions Proposed

• Proposed assigning specific system EAN IDs to each physical dock to enable complete material flow tracking directly in the WMS.
• Recommended transforming unstructured buffer areas into structured staging areas, applying a generic rule of "two staging areas per dock" with unique systemic identifiers.

Action Plan

• Redesign assets and flooring to visually separate and structure the new staging areas.
• Introduce an "area ownership" concept to operations teams to foster a continuous improvement mentality for their specific docks.
• Schedule periodic checks of equipment and assets to ensure they meet business requirements and receive necessary maintenance.

Situation

Pickers were walking massive distances, often moving across multiple floors of a pick tower just to fulfill a single order. This resulted in excessive motion waste, fatigue, and incredibly slow order fulfillment times.

What We Did to Identify the Gaps

• Used detailed spaghetti diagrams and process mapping to trace the exact physical routes taken by pickers on the floor.
• Engagement sessions with the picking staff revealed frustrations regarding unoptimized routing and elevator bottlenecks.
• Value stream mapping showed that travel time accounted for the vast majority of the order processing cycle time.

Solutions Proposed

• Proposed shifting to zone-based picking operations, where tasks are handed over between team members stationed on specific floors rather than one person walking the entire tower.
• Recommended processing orders using sequencing (delivering a complete order in one shot) rather than working per random pick patch.
• Suggested investing in custom slides to move items quickly from upper floors to bottom-floor sorting areas.

Action Plan

• Assign specific EAN IDs to picking carts so operators can easily scan and identify missing items.
• Synchronize storage and picking zones based on operational rotational classification to ensure a smooth handover between teams.
• Procure and install floor-to-floor slides to decrease the load on facility lifts and speed up downstream packing.

Situation

Inbound and outbound teams were building mixed pallets based entirely on visual estimation and guesswork. This led to unstable loads, poor volumetric efficiency in storage and transit, and a lack of standardization.

What We Did to Identify the Gaps

• Documented the process mapping of pallet creation at both the receiving docks and outbound shipping lanes.
• Led engagement sessions with floor operators, identifying that the lack of clear guidelines for different box dimensions was the root cause of the instability.
• Value stream mapping demonstrated how much space was being wasted in outbound trucks due to inefficient stacking.

Solutions Proposed

• Proposed standardizing Pallet Stacking Patterns (SPS) for homogeneous products.
• For mixed pallets, recommended purchasing a license for advanced load-planning software (TOPS Pro and the MixPro module) to automatically calculate the perfect pallet setup based on box dimensions.

Action Plan

• Review volumes per product to identify which items qualify for standardized stacking.
• Contact suppliers to obtain their standard SPS and store these in a specific, accessible drive (or physical files at the docks) for easy reference by operators.
• Implement the MixPro software to process scanned dimensions and auto-generate stacking instructions for mixed loads.

Situation

Complex products (such as marble tables) were frequently shipped from suppliers in multiple separate packages. This caused major friction during inbound receiving, as warehouse teams had to manually sort, match, and consolidate these pieces before storage.

What We Did to Identify the Gaps

• Mapped the end-to-end supply chain process, starting from the supplier's dispatch all the way to warehouse put-away.
• Held strategic engagement sessions with the internal purchasing/logistics teams and key suppliers to understand why items were packed separately.
• Value stream mapping indicated that handling multi-pack items was one of the most time-consuming activities in the receiving department.

Solutions Proposed

• Proposed a strategic reassessment of the product line-up to identify what could be consolidated into single packs at the source.
• Recommended establishing a standard for container shipments from consolidation hubs to enable easy identification of POs.

Action Plan

• Launch a joint project with suppliers to redesign packaging for multi-part items, aiming for single-pack deliveries.
• Initiate PO strategy review discussions to agree on safety stock levels for runner products with long lead times.
• Require logistics teams to highlight specialized handling shipments early, enabling inbound teams to pre-plan their operations.

Situation

The quality control process was isolated from main operations, creating massive bottlenecks. Furthermore, the warehouse was over-repacking goods based on an internal "frugality index," increasing labor and material costs unnecessarily.

What We Did to Identify the Gaps

• Mapped the quality inspection and repacking processes to see where goods physically stalled.
• Led cross-functional engagement sessions between Quality, Inbound Operations, and external suppliers.
• Value stream mapping highlighted that the back-and-forth movement of "red-flagged" items to a segregated quality area was causing massive lead-time delays.

Solutions Proposed

• Proposed transforming the quality team into an "operations helping hand" by moving them directly to the inbound docks to handle red flags locally.
• Recommended collaborating with suppliers to perform drop and failure tests at their own facilities rather than relying purely on internal repacking protocols.

Action Plan

• Designate specific red-flag zones at the inbound area for immediate quality resolution.
• Connect internal QA with supplier QA to assess the frugality index and eliminate unnecessary repacking for durable items.
• Deploy the Veeva platform to store, approve, and track compliance for all Quality SOPs.

Situation

Warehouse layout and dispatch areas were misaligned with actual shipping data. Slow-moving stock occupied prime picking spots, and the outbound yard was chaotic, with no clear management of trailer drops.

What We Did to Identify the Gaps

• Conducted detailed process mapping of the outbound dispatch and yard management workflows.
• Held engagement sessions with the planning and logistics teams to analyze the rotation and aging of stock.
• Value stream mapping revealed that the lack of clear yard organization caused severe waiting times for outbound loading.

Solutions Proposed

• Proposed introducing a new standard for stock rotation, ensuring operational classifications match commercial data to free up prime picking locations.
• Recommended moving more destinations to loose loads and establishing designated, clearly marked areas in the facility/yard (e.g., Drop 1, Drop 2).

Action Plan

• Conduct further studies to determine exactly which shipping destinations can be safely moved to loose loads.
• Create a synchronized tracking file linking the physical location of the trailer drop to its final destination.
• Assign a yard marshal/security guard during non-operational hours to manage trailer arrivals, registrations, and parking according to the new standard.

Situation

The returns area was disorganized, unsafe, and highly inefficient. The physical flow of returned goods caused cross-traffic, and processing backlogs were cluttering active workstations.

What We Did to Identify the Gaps

• Created spaghetti diagrams and process maps of the entire reverse logistics area to track operator movement.
• Facilitated engagement sessions with Customer Care, Brand Equity, and Quality teams to understand the varying requirements for returns processing.
• Value stream mapping proved that multi-directional product flow and disorganized backlog storage were the root causes of the processing delays.

Solutions Proposed

• Proposed a complete physical redesign of the returns area to enforce a strict, one-directional flow of goods.
• Recommended revising all acceptance, sorting, and repacking SOPs to be simpler and faster, heavily involving the Quality team in the redesign.

Action Plan

• Physically relocate stations to ensure flow only moves in one direction.
• Mandate that all return backlogs be stored before the active operations area to avoid mix-ups and safety hazards.
• Update and publish the new collaborative SOPs across all relevant departments.

Situation

The client was holding onto slow-moving inventory for too long. Their financial logic for liquidating products only accounted for the initial purchasing cost, making discounts seem unprofitable while ignoring the hidden cost of warehouse real estate.

What We Did to Identify the Gaps

• Mapped the financial and physical lifecycle of dead stock within the warehouse.
• Ran engagement sessions with the Finance and Operations leadership to dissect how liquidation decisions were currently being made.
• Value stream mapping of inventory holding highlighted that the daily operational cost of storing an item was quietly eroding profit margins.

Solutions Proposed

• Proposed completely overhauling the liquidation calculation logic to include the daily storage operational cost per item.
• Demonstrated that the cost of storing an item for extended periods was often more expensive than simply offering an additional 5–10% discount to clear it out immediately.

Action Plan

• Update the financial equation to include storage costs based on expected or actual days in the warehouse.
• Extract the expected number of storage days by analyzing historical data of similar product families.
• Deploy the new data-driven liquidation strategy to aggressively clear dead stock and free up valuable warehouse capacity.