Planning and decision tools for revenue leaders

Your MMM tells you what happened last year. EsperPulse tells you what to do next month.

AI-powered planning tools for marketing, trade, pricing and sales leaders. See marketing and trade spend in one comprehensive view, adjust the plan every month or as often as you plan, on models refreshed every quarter instead of once or twice a year, and get a projected return on every decision that the Business and Finance can check against actuals.

Start a 3-month pilot See how Comet plans its marketing budget

Example EsperPulse planning screen comparing marketing and trade spend scenarios

Sound familiar?

“Our MMM costs too much to refresh, and it tells us what happened, not what to do next.”

“Marketing and trade are planned by different teams, so nobody sees the trade-off.”

“Stock is building, and MAP rules mean we can’t just undercut our resellers.”

EsperPulse is built for exactly these moments.

Where revenue leaders start with us

Four areas, one approach: a plan you can adjust as the market moves, with a projected return you can defend.

Marketing spend and trade spend combine into one plan.

Marketing and trade investment

For annual planning, a mid-year budget change, defending the spend, and every month as the market moves.

One comprehensive view of marketing and trade spend, re-planned every month.

A planning tool powered by your MMM results that your team uses every day, not a model report. Each scenario shows projected revenue across your sales channels, and every model refresh checks how accurate earlier predictions were, so every dollar has a return you can verify.

Tool: PiOptima

Talk to us about marketing and trade planning

Volume rises as price falls, down to the MAP price; where the curve meets the MAP line is the maximum discount.

Pricing and revenue management

When stock builds up, a sales or margin gap opens, or a competitor launches a promotion.

Discount to hit your number, without breaking your commitments.

One discount plan that maximizes sales or margin while treating Minimum Advertised Price (MAP) and price-stability commitments to resellers as hard rules. It covers loss leaders, excess-inventory liquidation and revenue or margin goals, with projected revenue and margin on every discount, so Sales, Brand Marketing and Merchandising can sign off together. We configure it from our existing pricing and price elasticity building blocks.

Tool: Competitive pricing and price elasticity

Talk to us about pricing and discounting

Your items matched to competitor items, with price position and a gap in the lineup.

Sales and commercial

When a bid covers hundreds of SKUs, or you keep losing bids on price.

Quote big multi-SKU bids faster and more accurately.

Crossovers map your items to your competitors’, for field sales on mobile and for the back office, so bids go out faster and you spot gaps in your lineup and price positioning.

Tool: PiCart

Talk to us about bids and quoting

Bridge chart showing which drivers added to or took away from the result between last quarter and this quarter.

P&L and business leadership

Before your monthly and quarterly business reviews.

Your QBR looks in the rear-view mirror. Add the road ahead.

Driver Mix Modeling shows which drivers actually moved the P&L, and what to change next quarter.

Tool: PiOptima Driver Mix Modeling

Talk to us about business reviews

Client story

How a global footwear brand plans its marketing budget

A global footwear brand with $2–6B in revenue plans its $200–500M marketing budget across more than 10 business units around the world with EsperPulse. Its business units now plan from models that refresh every quarter, instead of once or twice a year.

Model refreshes: once or twice a year before, every quarter now.

The problem

An MMM refreshed once or twice a year was too slow to steer a plan across more than 10 business units.

What we did

PiOptima puts marketing and trade spend in one comprehensive view, as a planning tool the business units use, not a report.

The result

Business units now plan from models that refresh every quarter, instead of once or twice a year.

Reference calls available on request.

Built by people who have run these functions

Our leadership has owned P&Ls and run marketing, trade and pricing at Reckitt, Revlon, NicePak, Estée Lauder and Coach, and has led IT services work for major companies at Tata Consultancy Services and GalaxE Solutions. We know what a marketing plan, a trade plan, a reseller commitment and a QBR look like from the inside, and what your IT team needs before it says yes.

Rahul Mehrotra Chief Executive Officer Formerly at Reckitt, NicePak and Revlon Matthieu Cheyrou Senior Advisor Formerly on Mucinex and Lysol at Reckitt, and Clinique at Estée Lauder

Ariel Moriyon Vice President, Business & Technology Transformation Formerly at Coach (Tapestry), Lucent Technologies and AT&T

Sandipan Gangopadhyay Chairman, EsperGroup 35+ years leading IT services for major pharma and financial services clients at GalaxE Solutions

Vijay Chakravarthy President, EsperGroup Formerly in leadership roles at Tata Consultancy Services and GalaxE Solutions

How a pilot works

Three months. A fixed fee. A working tool at the end.

Pilot timeline: a 3-month, fixed-fee pilot, then a working tool, then a subscription with no per-seat fees.

The pilot: 3 months, fixed fee

We build a working decision tool on your data, for the decisions you choose. Data access and quality issues get found and fixed along the way, not used as a reason to wait.

At the end of the pilot

You have a working tool, a clear view of what it’s worth to you, and your own super-user setting access for your team.

Then, a subscription

Your team runs the tool, for any reasonable number of users, with no per-seat fees. Our data science and business teams stay as involved as you’d like.

Start a 3-month pilot

For the people who will check our work

Finance

Numbers you can check.

Every projection is traceable, every refresh shows projected against actual, and nothing changes without a person’s approval.

Data and Analytics

Built to make your team look good.

Open models, the Model Control Center, and your existing work leveraged, not replaced.

IT and procurement

Straight answers to your checklist.

Data handling, access control, integrations and AI ethics review: tell us what your process needs, and we’ll walk your team through it. Our parent company, EsperGroup, holds a SOC 2 Type 2 report, available on request.

Ask for our security details

How we do it: AI built on operator know-how

Under the hood is fnFM, our Functional Foundation Model approach to AI: models that start from what we already know about how marketing, trade, pricing and sales work, then learn your business. That’s why a pilot takes three months, not a year; why every result can be explained to the Business and Finance; and why you’re funding a working tool, not a science project.

Constraints? Handled.

Data quality: We start with the data you have, and fix gaps during the pilot.
Technology: We connect to the systems you already use.
Team capacity: Our data science and business teams fill the gaps, and work alongside any team you have.

Layers of the fnFM approach: ingestion, industry knowledge, fnFM functions, decisions and outcomes

Representative clients

A few of the companies we work with or have worked with. We use code names to protect their confidentiality. Reference calls are available on request.

Comet

A global footwear brand with $2–6B in revenue, planning its $200–500M marketing budget across more than 10 business units around the world.

RedShift

A large multi-brand, multi-category global company.

Wagon

A large auto parts supplier competing on tens of thousands of SKUs, in a business that depends on quick, competitive responses to bid requests and RFPs.

Rigel

A large benefits manager serving millions of patients.

Elara

A multi-brand, multi-category beauty and personal care supplier selling through retail and wholesale resellers, marketplaces and D2C.

Kuiper

A premium skincare brand, digitally and AI native, expanding into traditional channels.

Is EsperPulse right for you?

Unless you already run a large, stand-alone AI and data science operation, EsperPulse can fill that role quickly and cost-effectively. And if you have a data and analytics team, we’re built to work alongside it.

Start a 3-month pilot Or talk to us about where to start