Smart Demand Forecasting
Predict future order volumes weekly by region and SKU to optimize inventory and fleet resources.
[Source: Future Market Insights]
[Source: Global News Wire]
Build centralized data lakes and warehouses to unify IoT, telematics, dispatch, and BI data—enable high-speed querying, analysis, and ML model training.
Optimize routing by using real-time traffic, weather, historical demand, and vehicle analytics using AI models to save up to 20% on fuel, reduces delivery times, and maximizes fleet utilization.
Enable early detection of mechanical issues—reducing breakdowns, maintenance costs, and unplanned downtime with sensor-based data combined with machine learning.
Integrate AI-powered robotics and vision systems for tasks like picking, packing, sorting, and inventory control delivers higher throughput and improved accuracy.
Monitor dock operations, ensure loading accuracy, and flag anomalies—improving safety and reducing shrinkage with camera-based systems.
Deploy Salesforce platforms to centralize customer communications, automate dispatch updates, build fleet partner portals, and manage loyalty or corporate program engagement.
Provide navigation, dispatch routing, job management, digital logs (ePOD), and real-time updates—integrated with backend and CRM systems.
Handle routine load scheduling queries, delivery status, and basic troubleshooting—freeing up human agents for exceptions.
Build dashboards using Power BI, Tableau, or Domo for live KPIs: delivery success rates, load times, driver behavior, fuel usage, maintenance schedules, and SLAs.
Integrate with EV charging station data and rideshare platforms (e.g., Uber Freight) to manage charging cycles, last-mile handoffs, and optimize route economics.
Connect logistics platforms to ERP, TMS, e-commerce channels, marketplace APIs, and smart city systems—ensuring seamless monetization and intelligent coordination of third-party integrations with API-first design.
Predict future order volumes weekly by region and SKU to optimize inventory and fleet resources.
Assign drivers and vehicles in real time based on capacity, ETA, and compliance constraints.
Flag delays or route changes and notifies operations managers and customers proactively.
Pilot self-driving trucks and automated yard shuttles.
Optimize algorithmic route and capacity planning that reduces fuel usage and carbon footprint.
We apply insights from parking, hospitality, and finance to design multi-modal, future-ready logistics systems.
Our solutions include secure data pipelines, model governance, and scalable infrastructure for end-to-end deployments.
We enable unified engagement across customers, drivers, and operations through seamless platform integrations.
We deliver plug-and-play modules for dispatch, telematics, EV, and AI—connected through API-first design.
Our systems are SOC 2–aligned, with privacy-respecting AI and audit-ready reporting as standard.
We help reduce delays, lower fuel and maintenance costs, and boost productivity—backed by real-world results.
A leading parking management company required a secure, scalable, and cost-efficient Admin Portal to manage
A leading insurance services firm sought to enhance internal knowledge retrieval by leveraging AI-driven search
A leading parking solutions provider faced performance bottlenecks and limited scalability due to its legacy
We help industrial and manufacturing companies digitize operations..
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