Our Augmenters -
Ready-to-use AI modules for faster ROI realization
At AiQMEN, our solutioning approach is anchored in driving tangible business
outcomes by addressing core client challenges. Our proprietary platforms and
augmenters are designed to seamlessly integrate with client systems,
accelerating the journey from problem definition to solution deployment while
ensuring faster time-to-value.
InsightLens
Context & Business Problem
Business users often struggle to extract timely, actionable insights from complex
structured datasets. Traditional BI tools require users to manually navigate dashboards
and track KPIs through drill-downs. However, they rarely provide concise, easy-to-
consume summaries that highlight performance gaps or priority areas. As a result,
business users spend excessive time hunting for insights – time that could be better spent on strategic decision-making and action planning.
Our Solution: InsightLens from AIQMEN
InsightLens is a domain-aware AI assistant that simplifies data exploration through
Natural Language Querying (NLQ). Users can ask plain-language business questions and
instantly receive contextual answers – complete with dynamic charts, summaries, and
export-ready reports. Designed to go beyond reactive analysis, InsightLens provides
proactive alerts and recommendations tailored to user roles and key KPIs. Seamlessly
integrating with existing data systems, it acts as a unified layer for insight generation,
continuous monitoring, and intelligent action.
PlanogramLens
Context & Business Problem
For CPG manufacturers and retail teams, ensuring compliance with agreed
planograms across stores is critical for optimizing shelf performance, driving product
visibility, and improving sales conversion. However, manual shelf audits are
resource-intensive, inconsistent, and difficult to scale. This leads to poor compliance
visibility, execution gaps, and missed sales opportunities. Additionally, retailers often
lack insight into competitor activity and assortment trends at the shelf level, limiting
their ability to make data-driven decisions.
Our Solution: PlanogramLens from AIQMEN
PlanogramLens is an AI-powered image intelligence platform that automates
shelf audits and compliance tracking using computer vision. It processes retail
shelf images to identify on-shelf SKUs, measure brand presence, facings, and
share of shelf, and compare actual layouts with ideal planograms.
The platform provides actionable insights on compliance, out-of-stock
conditions, competitor presence, and execution gaps at store and aggregate
levels. With scalable deployment and intuitive dashboard, PlanogramLens
enables manufacturers and retailers to shift from reactive checks to proactive,
insight-led retail execution.
ContractLens
Context & Business Problem
Most organizations deal with a large and growing volume of contracts -across
vendors, partners, and internal teams. But these documents are often
scattered, inconsistent in format, and difficult to search through. Teams spend
significant time manually reviewing contracts just to find key terms, clauses, or
renewal dates. This slows down decision-making, increases compliance risk,
and leaves little room for proactive contract management.
Our Solution : ContractLens from AiQMEN
ContractLens helps organizations take control of their contracts by making
them searchable, structured, and insight ready. Using NLP techniques and
Generative AI, it extracts key clauses, tracks obligations, highlights
anomalies, and lets users ask questions in plain language to quickly find what
they need. Whether it’s surfacing a termination clause, comparing language
across contracts, or setting up alerts for renewals, ContractLens reduces
manual work and gives legal, procurement, and business teams the visibility
they need to act faster and stay compliant.
ForecastLens
Context & Business Problem
Accurate forecasting remains a persistent challenge for many organizations,
especially when planners rely on spreadsheets or generic tools that lack
statistical rigor. Evaluating multiple forecasting techniques manually is time-
consuming, and often there’s no straightforward way to select the best-fit model
for a given KPI. This leads to inconsistent forecasts, limited scalability, and delays
in decision-making – especially when users need quick, on-demand projections at
a granular level.
Our Solution: ForecastLens from AiQMEN
ForecastLens is a time-series forecasting platform that automates model
selection and output generation based on historical data. Users simply upload
their dataset along with the KPI to be forecasted, and the platform runs a range of
statistical techniques—including exponential smoothing, moving averages, Holt-
Winters, and ARIMA—to identify the best-fit model based on metrics like MAPE.
It also includes a natural language query interface, allowing users to explore
forecasts, trends, and summaries through simple, conversational inputs. With
ForecastLens, forecasting becomes faster, more accurate, and accessible to both
technical and business users.
