WALI is a sector-specific agentic AI platform that comes ready with re-usable agents to automate and fix leaks across your operations.
Your systems record the transaction. Planning tools set the plan. Neither runs the floor — and that's where the leaks happen. WALI does.
One agentic core, three jobs. WALI reads every system, decides the next best action under your rules, and drives it all the way down to the physical floor — by voice and on-screen — then learns from what actually happened.
WALI builds a live digital twin of your operation and continuously re-plans — labour, slotting, routes, shifts — as demand and capacity shift. No more running yesterday's plan against today's reality.
Agents don't just recommend — they act. Within your guardrails, WALI reassigns tasks, re-routes operators, triggers restocks and despatch, and resolves cross-system gaps in seconds, 24/7.
Through a built-in voice and digital frontline interface, WALI turns each decision into a step-by-step playbook for your workforce — then verifies it was done and feeds the result back into the next plan.
WALI ships with re-usable agents you connect by drag-and-drop on top of your systems — an environment to automate operations, find and close leaks, and build autonomous workflows. Use the cases below, or compose your own. Supply chain is live today; the same agentic core then expands to the next sectors.
Stop planning by intuition — protect your margins before the shift begins. Agents that plan the operation strategically and tactically from historical data and live signals, removing veteran-memory dependency and static-Excel guesswork.
Each morning the chief decides by hand which orders to pick first and where staff go. Wrong sequencing ripples down the line — missed customer SLAs, carrier cut-off failures, and expensive idle time.
WALI sequences waves and routes floor labour automatically against live backlogs and carrier cut-offs — maximizing daily throughput without depending on one person's memory.
Inbound truck arrival times are a black box. Yards and docks jam up, carrier demurrage charges mount by the hour, and receiving bottlenecks ripple downstream to choke the entire operation.
WALI predicts vehicle arrivals and dynamically schedules dock slots — clearing yard congestion, eliminating wait penalties, and smoothing inbound receiving.
Next week's labour shifts and volume capacities are planned on a supervisor's gut feeling and static Excel. A sudden e-commerce campaign wave catches the floor unstaffed, driving up emergency overtime.
WALI continuously rebuilds capacity profiles and shift schedules as demand shifts, simulating tomorrow's floor constraints against live backlogs — so you're never caught flat.
In a volatile market, SKU safety-stock levels are set by intuition. Overstocking ties up critical working capital on dusty shelves; understocking leads to immediate out-of-stock cancellations.
WALI forecasts demand at the individual SKU level and fine-tunes inventory thresholds — balancing cash flow and stock availability automatically.
Fast-moving items sit in distant or incorrect zones because slotting configurations stay static for months. Pickers walk unnecessary kilometres every shift, dragging down lines per hour.
WALI continuously re-slots high-velocity SKUs to optimal pick locations as buying patterns change — cutting empty travel and maximizing picker efficiency.
Under intense velocity pressure, packers drop small items into oversized boxes filled with expensive foam. Distribution trucks ship half-empty, and outbound freight cost quietly balloons.
WALI calculates and recommends the exact required box dimensions right at the packing bench — so shipments stop carrying air and total freight spend drops.
Smash system silos and run your hot operation on autopilot. Agents that bridge the data gaps between WMS, ERP, marketplaces and robots — catching micro-bottlenecks as they form and executing changes with zero manual intervention.
When an AMR/AGV jams, a robotic grab fails, or an aisle is blocked, the automation sits idle until a supervisor happens to notice the error on a distant dashboard.
WALI detects the robotic exception the millisecond it occurs and instantly dispatches the right technician to the exact coordinate — keeping your automated fleet productive.
Orders pile up unexpectedly in a pick zone. The floor manager has no live visibility to re-allocate labour in time, so the zone chokes and entire waves miss the cargo cut-off.
WALI detects the micro-bottleneck forming and automatically reallocates nearby idle operators in seconds — clearing zone density before customer SLAs break.
Picked items pile up at packing benches because sorter or forklift feed is uneven. Some lines sit idle waiting for work while others jam and miss shipping deadlines.
WALI balances the inbound feed and shifts packing staff to choking lines in real time — matching packing throughput to outbound dispatch velocity.
Orders from phone, WhatsApp, B2B portals and marketplaces are manually keyed in — creating duplicate entries, missed orders, and a complete halt when a key clerk is absent.
WALI ingests every channel into a centralized OMS layer and syncs to the WMS automatically — eliminating manual-entry errors and single-person dependencies.
Silent operational mistakes — late arrivals, incorrect counts, split shipments — accumulate on a major account. The client quietly jumps to a competitor, and you find out when the contract is already gone.
WALI ties day-to-day warehouse error build-ups directly to account risk profiles, flagging at-risk contracts early — so your account teams save the revenue before it walks.
Sorting speed per operator and per shift is unmeasured. A slow sorter or under-staffed shift silently misses the dispatch window, stranding packages at the hub for an extra 24 hours.
WALI tracks live cross-dock sortation metrics against target vehicle departures, flagging performance drops in time to adjust resources — so packages make their vans.
Across a multi-hub network, synchronization drifts and vehicle matching slips. Routing a package to the wrong hub or vehicle triggers expensive re-routing detours and delays from zero cross-location visibility.
WALI synchronizes cross-dock workflows across all network nodes with unified, live visibility — ensuring inter-hub transfers land on the right vehicle every time.
Front-end sales channels and the back-end WMS synchronize on an X-minute delay. Your last high-demand units sell out online simultaneously, turning into costly, brand-damaging 'out-of-stock' cancellations.
WALI bridges your disparate systems with near-real-time inventory reconciliation — instantly vaporizing the sync fog that causes oversells.
In fast, high-volume hub flows, a parcel for one city lands on another city's truck. The barcode scans as processed, but the item detours for days until the frustrated customer cancels.
WALI cross-references the sorting path against the final destination in real time — alerting handlers and catching the mis-sort before the truck leaves the bay.
Absolute physical control — zero errors from receiving to pack bench. Agents that turn system-bound decisions into flawless floor execution through WALI's voice and digital frontline interfaces.
When executive management asks for a live metric, the ops team spends hours chasing data and building Excel pivots, stalling critical decisions until the data is already old.
WALI answers complex operational questions in plain language instantly — so management decides in the moment, not from post-mortem autopsy reports.
Returned packages pile up in a corner. The system logs them as 'received', but inventory isn't inspected or graded for weeks — freezing cash flow and missing peak campaign sales.
WALI visually verifies and grades the return condition in seconds, re-opening sellable stock on the digital twin instantly — zero manual entry, zero black holes.
Pickers lose 3–5 critical seconds per order to clunky terminal navigation, frozen RF screens and poor shelf layouts. Hundreds of labour-hours bleed away daily, unnoticed by management.
WALI optimizes real-time travel routes, surfaces hidden terminal frictions, and coaches pickers dynamically — recovering the lost operational hours.
As fatigue sets in, picking pace drops from 60 to 35 units/hour by shift end. The floor still looks 'at capacity' to a manager, but you silently lose ~20% of daily throughput.
WALI spots the micro-slowdown patterns and dynamically rebalances task loads across operators — sustaining target throughput without burning out your workforce.
You can't see live whether staff follow SOPs. The terminal says a task is 'done', but shortcuts, unsafe behaviour and skipped checks stay invisible until a customer receives a defective order.
WALI monitors how tasks are executed on the floor and highlights procedure violations in real time — assigning clear ownership instead of a blame game.
Seasonal staff learn complex layout rules by watching others, without structured onboarding. Who repeats which error is never measured — so the same mistakes break your peak season every year.
WALI acts as a digital supervisor, coaching each operator with context-aware prompts and tracking error patterns — turning 'learn-on-the-job' into measured, predictable competence.
A picker grabs a look-alike SKU, the wrong size or an incorrect count. The RF terminal registers 'scanned' at the shelf, but the wrong item ships — refunds, reships and lost trust.
WALI intercepts wrong-SKU, size and count picks before they're staged for packing — maintaining perfect system accuracy on both sides of the transaction.
An item slid onto the wrong shelf shows as 'in stock'. A picker arrives at the slot, finds it empty, and management cancels the order and zeroes the inventory — even though the product is physically in the building.
WALI continuously reconciles physical shelf reality against WMS records to surface phantom inventory — ending wasted searches and false out-of-stocks.
Packing the same item variant 800 times a day breeds automation fatigue. A packer ships a premium look-alike on autopilot — letting an expensive item walk out cheap, or vice versa.
WALI verifies item integrity right at the packing bench, triggering immediate alerts on SKU mismatches — catching look-alike errors before they hit the shipping lane.
An item is put away without a proper scan, or mis-scanned to an unrelated location. The WMS trusts a location record that's dead wrong, initiating immediate inventory blindness.
WALI verifies and audits the physical putaway location the second it occurs — stopping ghost-stock tracking issues before they're ever created.
Damaged, leaking or mislabeled items at the bottom of a 1,000-pack inbound pallet pass unnoticed during rapid receiving. Weeks later your customer gets the defect, and the return is billed to you.
WALI inspects incoming freight right at the receiving dock, flagging and logging supplier defects on arrival — so you charge back vendors instead of paying for their mistakes.
Same low-code agentic core (digital twin + AI agents + voice & frontline execution), two engagement models. The buyer is IT — governed, auditable, on your own systems.
Build your own use-cases on WALI's low-code agentic core and operational digital twin. Configure agents, set goals and guardrails, govern and audit every decision. You own it; we enable and support.
No IT capacity? Pick a ready-made use-case from the catalog and we configure and operate it for you as a managed service. You define the goal and permissions — we run it. Live in 30 days.
We run WALI — a vertical, low-code agentic AI platform — on top of your existing systems (WMS, TMS, ERP, MES, e-commerce, camera, voice, documents). It builds a live digital twin of your operation, autonomously plans and executes the next best action under your governance rules, and pushes each decision down to the floor by voice and on-screen — then verifies it was done. No rip-and-replace, no code required.
Operations-heavy companies in three configurations: warehouse & 3PL operations, e-commerce supply chain (order to last-mile), and manufacturing (shop-floor to multi-plant). Typically 50+ staff per site, multi-system coordination, where decision quality drives cost and SLA outcomes.
Zero-disruption. We don't change your WMS, ERP or MES — we sit on top as a read-only layer over your existing APIs and cameras. Within 48 hours we're collecting data in shadow-execution mode. Week 1: connect and learn your data. Weeks 2–4: configure agents for your operation. Week 5: live on one workflow with KPI tracking active. Week 9+: scale to more workflows and sites. Go-live doesn't pause your operation for a single minute.
Pilot goes live in 30 days. First measurable outcomes typically within 90 days: 35%+ improvement in operational productivity, 20%+ reduction in operational costs, 40%+ improvement in customer satisfaction — based on live customer deployments.
Your data stays where it is — on-premise, hybrid or your cloud. Every AI decision is auditable end-to-end with full run lineage. Critical actions require human approval. We follow your existing IAM and security rules; SOC 2 and ISO 27001 ready, GDPR and KVKK compliant.
No — it works alongside them. Routine decisions run automatically; humans handle judgement, exceptions and customer relationships. Your supervisors and managers stop firefighting and start shaping outcomes. AI multiplies their decisions, never replaces them.
No new app. No training overhead. AI sends the next-best task as a notification to your operators' existing handheld scanners or voice devices — the same tools they use every day. Real-time guidance adapts to each operator's pace and skill, reducing errors with zero learning curve. Works the same for permanent, seasonal or temporary staff, including non-native speakers.
Our pilot has measurable KPI targets we agree upfront. If we don't hit them, we refund 50% of the pilot fee. We only stay if we deliver real value.