top of page

Industry & Functional AI

Dakshineshwari enables q-o-q revenue & profitability growth AI apps across multiple sectors, taking care of issues like Ops, data, inference. monitoring & ROI mgmt.

 

Help your CFO feel comfortable with the ROI from AI investments.

Industry Focus Areas

Many CEOs that we meet arr hesitant to invest significantly in AI, due to mismatched ROI expectations. The disappointments with Gen-AI has not helped with this impression. Most AI applications within the enterprise, today are based on tabular ML.

 

While tabular ML is an evolutionary technology, there are many pitfalls that firms run into - from time to bootstrap, ROI, fragility, costs and domain knowledge. 

​

Boost ROI from AI at lower TCO & time, in areas such as Retail, Sales, Mkrg and Supply Chains.

Industry-AI-v1.png

Industry AI Deliverables

01.

Advanced MLOps

Amazon Sagemaker setup + templatized analytics engineering tasks + monitoring drifts + remediation services

02.

Retail AI

Sales forecast & Lost sales + Customer Retention, LTV, Acquisition costs + dynamic pricing + market-basket

03.

Supply Chain AI

Red Inventory + logistics & demurrage +  supplier risk categorizarion + warehouse analytics - all customizable.

04.

E2E Data Mgmt.

Curated pre-built data pipelines for Retail, SC + query & KPI engines + data acquisition/labeling services

05.

Complex Multi-Step Apps

Real world ML problems need multi-step inference chains (not stacking). Setup, creation, ops for multi-step ML chains.

06.

ROI Mgmt.

Business metrics tracking and metrics growth implementations thru integrations with transactional systems.

Why Us?

Operating Model

"Give us access to your data & we'll take care of the rest" model - PaaS structure

Customized for Retail, SC

Retail, SC, Sales,  Mktg specific solutions, workflows, date support.

Managed ROI

Monitoring, metrics mapping, integration into transactional systems leads to dependable ROI

Data for AI

Built-in curated pipelines meant for Retail, SC + data acquisition services.

bottom of page