Innosential AI

Vessel Routing Optimizer

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Vessel Routing Optimizer

Problem Statement: The challenge was to design efficient routes for a fleet of vessels that could transport multiple commodities to various ports and customers while minimizing waiting times, preventing stock-outs, and considering constraints such as vessel capacity, port congestion, and time window restrictions.
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Retail and e-commerce: Pallet optimizer

Problem Statement: A Billion dollar US company needed to optimize the packing of containers on the pallet, which are then placed in trucks for transportation.
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PREDICTION OPTIMIZATION: Packaging Box Replenishments

Business Problem: The client needed to optimize their semi-automatic packaging operation at a large warehouse by forecasting, inventory management, and route optimization.
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Anomaly Detection

Problem Statement: A major E-commerce company in the USA wanted to develop an anomaly detection algorithm for their web-infrastructure system to identify and isolate reasons for detecting violations in response times encountered by customers and predict them 5 minutes ahead of time.
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PLATFORM FOR CONVERSATIONAL AI SYSTEM

A global technology company required a Conversational AI System that could enhance customer understanding and respond intelligently. Solution: A platform for Conversational AI systems was created using domain-specific language models, allowing the system to understand the entities and intents of customers. The machine learning algorithm was used to ingest client data and create the first…
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Conversational AI for Cars – Say ‘N’ Serve

The applications of GANs is rising and so is the risk of misinformation spread through their use. In this day and age when fake content is so prevalent, GANs pose a significant challenge to the efforts already underway to combat misinformation. This X does not exist is a website which compiles a list of popular GANs. Most…
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Adaptive Learning System

Problem Statement: The client wanted a platform that would offer adaptive learning techniques to enable individual learners to take the same course in different ways based on their skills and comprehension levels
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Power Generation Forecasting Engine

Problem Statement: A wind farm in Europe was facing high penalties due to a high margin of error in their power output prediction, caused by a 30% error rate in their wind and weather prediction model. They needed an improved model to reduce the error rate and avoid these penalties.
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Merchandise Mix Optimizer

Problem Statement: A popular retailer with over 3000 physical stores in the United States wanted to increase revenue from each of their stores by improving merchandise effectiveness in their physical stores.
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Applicant Reciprocal Recommender

Problem Statement: Our client, a referral-based recruitment portal, was facing suboptimal results from their current ranking algorithm that matched candidates' skills with job descriptions. They wanted to improve their algorithm to better rank candidates for job applications.

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