"Agile Infoways team delivered exceptional iOS and Android apps with responsive support and outstanding problem-solving expertise."
- Rob Machado
From real-time supply chain control towers and AI-powered demand sensing to supplier risk intelligence, last-mile optimisation, and cold chain monitoring — we build logistics AI that eliminates blind spots, reduces cost, and keeps goods moving no matter what disruptions emerge.
Geopolitical volatility, shifting consumer demand, last-mile complexity, and regulatory scrutiny are exposing the fragility of supply chains that lack real-time intelligence and predictive capability.
Most supply chains operate with fragmented data across 3PLs, carriers, and suppliers — creating multi-day latency in exception detection and leaving leadership blind to disruptions until they become crises.
Post-pandemic demand patterns remain erratic. Companies relying on traditional statistical forecasting suffer 25–40% MAPE rates, leading to simultaneous overstock and stockout situations that drain working capital.
Single-source dependencies, financial instability among tier-2 and tier-3 suppliers, and geopolitical trade restrictions create catastrophic exposure that procurement teams cannot monitor manually at scale.
Last-mile accounts for 53% of total delivery cost. Failed first-attempt deliveries, inefficient route planning, and rising consumer expectations for same-day and time-slot delivery squeeze margins relentlessly.
Evolving tariff regimes, country-of-origin rules, and sanctions screening requirements impose manual classification and documentation burdens that slow cross-border shipments and create compliance exposure.
Pharmaceutical, food, and chemical supply chains require unbroken temperature control across hundreds of touchpoints. Manual monitoring leads to excursion blind spots, product losses, and regulatory action.
End-to-end supply chain and logistics intelligence — from control tower visibility and demand sensing to supplier risk management, last-mile routing, and cold chain compliance.
Real-time end-to-end supply chain visibility platform that aggregates data from ERP, TMS, WMS, carrier APIs, and IoT sensors into a single operational intelligence layer with proactive exception alerting.
AI demand forecasting platform that ingests POS data, market signals, weather, economic indicators, and promotional calendars to generate SKU-level forecasts at 3x the accuracy of statistical baselines.
Continuous supplier risk monitoring platform that scores financial health, geopolitical exposure, ESG compliance, and operational performance — alerting procurement teams to emerging risks before disruptions occur.
Dynamic route optimisation engine that factors real-time traffic, delivery time windows, vehicle capacity, and driver constraints to minimise cost-per-delivery and maximise first-attempt success rates.
AI-powered customs and trade compliance platform that automates tariff classification, certificate of origin generation, sanctions screening, and cross-border documentation for global shipment portfolios.
IoT-integrated cold chain monitoring platform with predictive excursion alerts, regulatory-grade audit trails, and automated corrective action workflows for pharmaceutical, food, and chemical logistics.
How logistics operators, manufacturers, and distributors used our AI to improve delivery performance, reduce risk, and cut operational cost.
A global electronics distributor achieving only 74% on-time delivery across 18 carrier relationships, with no centralised exception visibility and a 3-day average lag between disruption and corrective action.
Supply chain control tower deployed across all carrier and supplier data feeds. On-time delivery improved to 91% within two quarters. Exception detection latency reduced from 3 days to under 4 hours.
A consumer goods manufacturer with a 31% MAPE on weekly SKU-level forecasts, resulting in $8.4M in excess inventory and chronic stockouts on top-20 hero SKUs entering peak season.
AI demand sensing model trained on POS, weather, and promotional data reduced MAPE to 9.2% — a 3x improvement. Excess inventory reduced by $3.6M. Hero SKU availability reached 98.4% through peak.
A Tier 1 automotive components manufacturer with critical single-source exposure to 6 suppliers in geopolitically sensitive regions — with no systematic monitoring capability and two near-misses in 18 months.
Supplier risk intelligence platform deployed across 340 active suppliers. Three high-risk suppliers identified and dual-sourced 8 months before one declared insolvency. Estimated disruption cost avoided: $6.8M.
A B2C fulfilment operator with a 34% failed first-attempt delivery rate and a cost-per-delivery 40% above benchmark — driven by static route plans that could not adapt to real-time conditions.
Dynamic last-mile optimisation AI deployed across 6 regional depots. Failed first-attempt delivery rate fell to 11%. Cost-per-delivery reduced 22%. Driver productivity increased 28% within 90 days.
Measurable outcomes from AI deployments across logistics operators, manufacturers, and global distributors.
Book a free 45-minute AI discovery session with one of our supply chain & logistics AI specialists.
Hear directly from the leaders who partnered with us to ship AI-powered products, modernize platforms, and move faster than they thought possible.
"Agile Infoways team delivered exceptional iOS and Android apps with responsive support and outstanding problem-solving expertise."
- Rob Machado
"Great company with great management quality developers were really dedicated to get the job done in a timely cost-effective manner."
- Alexandar Salahsour
"They consistently delivers reliable, high-quality development solutions with exceptional communication, value, and trusted partnership."
- Joe Pellegrino, Jordan Pellegrino
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