Spares Pazari, a technology company which aims at digitalising the ships through advanced AI and Machine Learning tools.
We seamlessly automate all the verticals of our Supply Chain Management ( inclusive of Procurement, Services, Logistics, Commissioning, Testing and Inspection ). We use data analytics for predictive requirements which reduces the procurement time and cost for the our buyers.
Backed with AI and machine learning tools, our products easily integrate with our existing clients workflow - procurement, export-import documentation, Shipping and logistics etc. Without the need to install additional software or plugin, we enable our customers to enjoy the immense benefits of our technology from their native environment.
We have a strong global network of suppliers and service providers. This network is leveraged by our clients to promptly supply, inspect and repair thereby reducing their off-hire or idling cost
An average direct cost reduction by over 30%, 95% sourcing rate and turnaround time of 18 hours are a testimony to the immense value add and cost savings. We deliver complete equipment and their spares such as Engines, Turbochargers, Pumps, ECDIS, Radard,Life Boats and Rafts, Compressor , HVAC, Stores and Consumables etc.
Over the last 1 year we have successfully delivered over 17,000 items globally. We have shipped over 40 T of products ranging from machinery, spare parts to consumables.
We have very attractive payment terms for our clients.
For our registered vendors they can avail Invoice Discount Facility which ensures prompt payment realisation at minimal cost.
Industry
Maritime Transportation, Big Data Analytics, Data Management, Data Entry & Data Processing Service, Computer & IT Solutions, Procurement Services, Warehousing Management Services, Warehouses and Warehousing Agents, Building & Construction, Transportation & Logistics
HQ Location
K 1/28
1st floor, Chittaranjan Park
Delhi, 110019, IN
Keywords
Commisioningexportimportship managementship ownersfreight forwardingcustom clearancevessel managementmachine learningProcurement