Infocepts

Infocepts We enable improved business results through effective use of data, AI & user-friendly analytics

InfoCepts enables improved business results through more effective use of data, AI & user-friendly analytics.

A global retailer's ran on weekly replenishment cycles, phantom inventory, and siloed reporting across demand planning...
08/27/2026

A global retailer's ran on weekly replenishment cycles, phantom inventory, and siloed reporting across demand planning, logistics, and procurement.

Every disconnected system had its own version of the truth, and the gap between what the systems said and what the stores actually needed showed up as stockouts on one shelf and excess inventory on another.

Infocepts built a unified Supply Chain Intelligence Platform: AI-driven demand forecasting, real-time inventory visibility, a governed semantic layer, and agentic replenishment, so every function works from the same trusted data foundation instead of reconciling five versions of it.

The result:
- 10%+ reduction in total supply chain costs
- 12% improvement in on-time delivery performance
- Demand forecast accuracy above 88%
- Phantom inventory rate below 4%

Close that gap, and the stockouts stop costing you sales.

See the full story: https://zurl.co/myiLp

šŸŒ± 1,007 registrations. 790 participants. One movement for a greener Nagpur.The Infocepts Green Earth Awareness Run 2026 ...
08/25/2026

šŸŒ± 1,007 registrations. 790 participants. One movement for a greener Nagpur.
The Infocepts Green Earth Awareness Run 2026 brought together runners, volunteers and the community to connect fitness with environmental responsibility.
šŸƒ 10 KM | 5 KM | 3 KM Fun Run
šŸ§˜ Community Zumba & wellness activities
šŸŒ± Tree saplings for a greener future
A special highlight was Shashank Garg, CEO, Infocepts, leading by example with the 10 KM run.
Led by Rimachand Kale, CSR Lead, Infocepts Foundation, the initiative was made possible by the Infocepts team, volunteers, students, runners and community partners.
Because meaningful CSR isn't just about awareness. It's about turning awareness into action that lasts.
Run Green. Grow Green. Save Trees.

A U.S. luxury retailer's sales and inventory team used to wait days for an answer, and often got three different numbers...
08/20/2026

A U.S. luxury retailer's sales and inventory team used to wait days for an answer, and often got three different numbers from three different dashboards to go with it. Leadership stopped saying "let me pull that" and started getting the number while they were still in the room.

Infocepts fixed that with one governed semantic layer, one natural language AI assistant on top of it, and answers in seconds instead of days.

Before: hours to days, plus a queue behind IT, just to confirm one number.

After: seconds.

Before: pricing scenarios were a manual modeling exercise.

After: they're a question away.

That's what a governed semantic layer does once a natural language AI assistant sits on top of it: no multiple-dashboard tax, just one number everyone trusts.

Written by Sushrit Moundekar. Full breakdown here:https://zurl.co/81wS8

One mass retailer had 600+ stores and no real-time read on what was actually selling. We helped their merchandising team...
08/12/2026

One mass retailer had 600+ stores and no real-time read on what was actually selling.

We helped their merchandising team with OptiStore AI. Three agents score SKU performance across apparel, home, and electronics, catch planogram gaps before they cost a sale, and score new product launches by store cluster. One data layer feeds all three.

Category sales climbed 8.6% across the retailer's full 600+ store footprint after rollout.

100+ store-level operational reports that used to take manual pulls now generate on their own.

Range review cycle time dropped 18% once first-pass SKU scoring moved to the Range Review Copilot.

500+ business users now pull merchandising insights directly, no analytics team request required.

Merchandising heads can now catch a shelf gap or a slow SKU ahead of the weekly review instead of after.

See how OptiStore AI's merchandising intelligence works end to end: https://zurl.co/ziUX8

Campaign teams don't struggle because they lack data.They struggle because they don't have answers when they need them.C...
08/04/2026

Campaign teams don't struggle because they lack data.

They struggle because they don't have answers when they need them.

Campaign data lives across ad servers, inventory systems, contracts, and reporting tools. By the time teams identify a pacing issue or delivery risk, revenue has often already been impacted.

What if they could simply ask:

ā€¢ Which campaigns are at risk of underdelivery?
ā€¢ What's driving the delivery risk?
ā€¢ Where is inventory available?
ā€¢ What should we do next?

CampaignNova AI turns fragmented campaign data into trusted, real-time revenue intelligenceā€”helping media teams move from reactive firefighting to proactive decision-making.

Because the goal isn't another dashboard. It's making better revenue decisions, faster.

Learn more: https://zurl.co/wqKRj

What if your next $40 million isn't new revenueā€¦ it's revenue you're already losing?For a publisher generating $2B in an...
07/30/2026

What if your next $40 million isn't new revenueā€¦ it's revenue you're already losing?

For a publisher generating $2B in annual advertising revenue, a 2% improvement in yield can unlock $40M every year.

The challenge isn't selling more inventory. It's identifying where revenue quietly leaksā€”through static floor pricing, under-delivery, audience mismatches, and inefficient inventory management.

Our latest blog explores where those hidden losses occur, why they often go unnoticed, and how publishers can start recovering them.

Read the full blog: https://zurl.co/P0dxv

12 to 16 weeks from kickoff to your first production marketing mix model.Glass-box modeling replaces vendor scoring you ...
07/30/2026

12 to 16 weeks from kickoff to your first production marketing mix model.

Glass-box modeling replaces vendor scoring you can't audit. Every input, driver, and assumption stays visible to marketing, finance, and audit.

Scenario planning runs on demand. Test a reallocation before you commit the spend, rather than waiting on a quarterly model refresh.

The measurement capability belongs to your team. Open-source frameworks mean the models stay yours when the contract ends.

The CMO stops losing budget arguments by default, because the evidence is in the room before the question gets asked.

Infocepts Mix Studio: https://zurl.co/x5r6n

Your sales team doesn't need another dashboard.They need fewer decisions to make before they can sell.Think about a typi...
07/29/2026

Your sales team doesn't need another dashboard.

They need fewer decisions to make before they can sell.

Think about a typical morning before an important advertiser meeting. Sellers jump between CRM records, campaign reports, email threads, audience data, and spreadsheetsā€”spending hours assembling context instead of preparing strategy.

That's not a data problem.

It's a decision problem.

The most valuable AI won't generate another report. It will tell sellers:
ā€¢ Which accounts need attention
ā€¢ Where the risks are
ā€¢ What to do next

That's the difference between automation and true sales intelligence.

In my latest blog, I explore why real Sales AI isn't about building smarter dashboardsā€”it's about shortening the distance between a question and a trusted business decision.

Have a read and let me know if you agree https://zurl.co/zxLCD

Most retailers don't have a customer data problem.They have a customer understanding problem.A specialty retailer with o...
07/29/2026

Most retailers don't have a customer data problem.

They have a customer understanding problem.

A specialty retailer with over 2 million loyalty members wanted every event to feel exclusive. But their segmentation couldn't keep up.

Five to seven broad RFM segments were rebuilt manually every week. By the time campaigns launched, customer behavior had already changed. Worse, "active," "lapsed," and "high-value" meant different things across CRM, e-commerce, and event systems.

We helped them move from static segmentation to real-time customer intelligence.

āœ”ļø 50+ AI-powered micro-segments instead of 7 broad tiers
āœ”ļø Real-time customer profiles instead of weekly refreshes
āœ”ļø Minutes instead of days to build audience segments
āœ”ļø One trusted definition of every KPI across every system

The result?

Event engagement increased 3x.

Marketers no longer waited for the analytics team to identify the right audience.

They simply asked the platform.

Read the full case study: https://zurl.co/iSTiN

Every click, event registration, content interaction, and customer touchpoint tells part of your audience's story.The ch...
07/28/2026

Every click, event registration, content interaction, and customer touchpoint tells part of your audience's story.

The challenge is that those stories often live in different systems.

We partnered with a global media & events company to bring those fragmented signals together into a single, privacy-safe view of its audienceā€”enabling more personalized experiences, smarter buyer-seller matchmaking, and faster launches for new products.

The results speak for themselves:

šŸ“ˆ 42% increase in audience engagement

šŸš€ 30% faster time-to-market for new products and business divisions

This case study explores how connected audience intelligence helped turn fragmented data into measurable business outcomes.

šŸ“– Read the full case study: https://zurl.co/26Bti

Explore Audience Intelligence Platform: https://zurl.co/6Rvo8

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