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Sagarmatha

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uuid000bjrb

Namestring
Sagarmatha
Legal namestring
Sagarmatha Ltd.
Websiteurl
sag121.com
Company typeenum
Private
Founded yearint
1999
Descriptiontext

Sagarmatha Ltd. is an Israel-based B2B SaaS company, founded in 1999 and operating with 51-100 employees, that builds ML-powered personalization and analytics software exclusively for grocery, drugstore, and health & beauty retailers and their CPG supplier partners. The company targets tier-one retailers across Europe and North America; its publicly named customers include Ahold Delhaize and its US banners (Stop & Shop, Giant, Food Lion, The Giant Company, Price Chopper), ADUSA, La Colonia, and CPG suppliers Coca-Cola, Kellogg's, Procter & Gamble, Colgate, and Kimberly-Clark. The "Sagarmatha Promise" — right customer, right offer, right time, right channel — is delivered through hyper-personalized offer scoring against every shopper at every touchpoint, with claimed outcomes of up to 17% sales lift, 6.0x retailer ROI, and 8.3x supplier ROI measured against control groups.

The platform consists of two integrated products. SagPersonalize is the core ML personalization engine, combining predictive analytics, automated machine learning with continuous model regeneration, a constraints engine, an optimization algorithm that balances retailer, supplier, and shopper goals, and an omni-channel API spanning email, app, web, direct mail, social media, in-store kiosk, and store printer. SagAnalyze is a complementary BI and analytics suite with four modules — Sales & Market Share, Shopper Behavior, Promotions, and Targeted Activity — built on millions of shopper transactions and including a proprietary Replenishment Gap Prediction capability at the SKU and household level. The Big Data platform reports 1.1TB/hr throughput and 42ms latency per batch of 4.2M records.

Sagarmatha combines SaaS subscriptions with embedded expert services, deploying its team directly inside client operations as a partnership differentiator against black-box or self-serve alternatives. Distribution is exclusively direct enterprise field sales, supported by an inside-sales motion for inbound "Book a Demo" leads and content marketing through a 24-case-study resource center; pricing is not publicly disclosed. Revenue mechanics span both retailers (subscription for personalization and analytics) and CPG suppliers (co-funded promotion optimization), making it a B2B2B model where retailer adoption pulls supplier monetization.

Short descriptiontext

Sagarmatha builds ML-powered personalization and analytics software exclusively for grocery, drugstore, and health & beauty retailers and their CPG suppliers in Europe and North America, embedding expert teams alongside its SaaS platform to deliver 1:1 personalized offers at scale.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
51–100
akta.pro rankint
HeadquartersYakum, Israel
HQ citystring
Yakum
HQ countrystring
Israel
HQ regionstring
Middle East
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
retail personalization, shopper analytics, promotion optimization, machine learning retail, CPG trade marketing
Industry3 codes
1Pricing, Revenue Growth Management (RGM) & Promo Analytics Services
CodeCRAOAOAEPrimaryYes
2Market, Shopper & Category Insights / Research Services
CodeCRAOAOAIPrimaryNo
3Pricing, Revenue & Commercial Analytics
CodeBPAHALAMPrimaryNo
NAICS code1 code
  • Custom Computer Programming Services541511
SIC code1 code
  • Services-Advertising7310
Product category
Retail Personalization Software
Social media profiles1 record
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model2 records
1SaaS ML Platform Subscription (SagPersonalize & SagAnalyze)
TypeSubscription Recurring
Description

Sagarmatha delivers its ML-powered personalization and analytics platforms as SaaS subscriptions to grocery, drugstore, and health & beauty retailers. The revenue model combines technology delivery with expert embedded services. Every program is tied to a control group to measure real outcomes, with proven results including up to 17% sales lift.

sag121.com
2Expert Services / Embedded Partnership
TypeProfessional Services
Description

The company's team of experts embeds directly into the client's operations, providing hands-on execution alongside the SaaS technology. This partnership model, where 'the product is the machine learning, the difference is the people who deploy it alongside you,' suggests professional/managed services as a revenue component.

sag121.com
Marketing channels6 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Sagarmatha sells a SaaS machine-learning personalization and analytics platform that helps grocery, drugstore, and health & beauty retailers and their CPG suppliers turn shopper transaction, basket, and loyalty data into hyper-personalized 1:1 offers delivered across every retail touchpoint. The offering combines SagPersonalize, an ML-powered personalization engine with omni-channel delivery, and SagAnalyze, an analytics suite covering sales, shopper behavior, promotions, and targeted activity, supported by an embedded expert team.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 7 values shown
  • Up to 17% average sales lift (measured vs. control group)
+6 more records
Product overview1 text field

Sagarmatha is a platform-plus-modules architecture consisting of two integrated products: SagPersonalize (core ML-powered personalization engine) and SagAnalyze (advanced retail analytics add-on module). SagPersonalize serves as the primary engine, analyzing shopper data to deliver hyper-personalized offers at scale across touchpoints. SagAnalyze provides complementary analytics capabilities with four focused modules for sales tracking, shopper behavior analysis, promotions measurement, and targeted marketing. Together, they enable retailers to turn shopper data into sales, loyalty, and growth through ML-powered personalization and advanced analytics.

Product and service1 record
1SagPersonalize
Scale indicator12 records

Each record includes

Type, Value, Description, Source

Partnership6 partners
Strategic tierCoreTypeGTM or Marketing Partner
Description

Ahold Delhaize is a major international grocery retailer and Sagarmatha customer. The company's US banners (Stop & Shop, Giant, Food Lion) are listed as trusted customers and appear in customer logos. Ahold Delhaize has also been highlighted in company content for industry leadership during COVID-19. The relationship is a customer partnership where Sagarmatha provides personalization technology to Ahold Delhaize's US retail operations.

Strategic tierCoreTypeGTM or Marketing Partner
Description

Coca-Cola is listed as a leading CPG brand customer in Sagarmatha's customer logos. The company appears as a supplier partner that co-funds personalized promotional offers at Sagarmatha's retail customer locations.

Strategic tierCoreTypeGTM or Marketing Partner
Description

Kellogg's is listed as a major CPG brand customer using Sagarmatha's personalization platform. Like other CPG partners, Kellogg's co-funds personalized offers at partner retailers to optimize trade spend and ROI.

Strategic tierCoreTypeGTM or Marketing Partner
Description

Procter & Gamble is listed as a CPG brand customer using Sagarmatha's platform. P&G is one of the world's largest consumer products companies and uses Sagarmatha's solution to optimize promotional spending across grocery retail partners.

Strategic tierCoreTypeGTM or Marketing Partner
Description

Colgate-Palmolive is listed as a customer CPG brand partner. The company uses Sagarmatha's ML-powered personalization to fund targeted offers at grocery retail partners.

Strategic tierCoreTypeGTM or Marketing Partner
Description

Kimberly-Clark is listed as a customer CPG brand partner using Sagarmatha's personalization platform for targeted promotional offers at grocery retailers.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Data science and customer engagement company spun out of Tesco, focused on grocery and retail personalization. Directly comparable to Sagarmatha as a vertical-specialist ML personalization platform serving tier-one grocery retailers with shopper data-driven offers and loyalty optimization.

TypeDirect peer
Description

Kroger's data analytics subsidiary, providing personalized marketing, media, and insights for grocery retail. Directly comparable to Sagarmatha as a retailer-tied ML personalization engine focused on grocery shopper data, loyalty, and promotional offer optimization.

TypeDirect peer
Description

Shopper intelligence and personalized digital media provider serving CPGs and retailers across grocery, drug, and convenience channels. Highly comparable to Sagarmatha given overlapping CPG/retailer customer base, ML-driven offer personalization, and shopper-level targeting capabilities.

TypeDirect peer
Description

Marketing services and personalization platform within Publicis Groupe, with deep retail and CPG customer engagement capabilities. Comparable to Sagarmatha in delivering data-driven personalization and loyalty solutions to enterprise retail/CPG clients, though operating as part of a broader agency holding company.

TypeDirect peer
Description

Digital promotions, media, and shopper marketing company (formerly Quotient Technology) focused on CPG-funded offers at retail. Comparable to Sagarmatha given its positioning on digital couponing, retailer-funded media networks, and CPG trade promotion optimization.

TypeEmerging player
Description

Data connectivity platform enabling brands and retailers to collaborate on first-party data activation. Comparable to Sagarmatha at the data infrastructure layer powering retail personalization, though LiveRamp focuses more broadly across industries and on identity resolution rather than vertical-specific ML offers.

TypeEmerging player
Description

CRM and customer retention platform using ML for personalized multichannel marketing, with a meaningful retail vertical presence. Comparable to Sagarmatha in ML-driven personalization and customer journey optimization, though Optimove's roots are in gaming/gambling and it serves a broader vertical mix.

TypeBroad incumbent
Description

Broad enterprise marketing platform offering personalization, journey orchestration, and audience segmentation. Overlaps with Sagarmatha's personalization and omni-channel delivery capabilities but is a horizontal platform rather than a grocery/drugstore vertical specialist.

TypeBroad incumbent
Description

Suite of enterprise marketing, analytics, and personalization products including Adobe Real-Time CDP and Adobe Target. Overlaps with Sagarmatha's ML personalization and analytics offerings but competes from a horizontal, multi-industry position with much broader feature scope.

TypeBroad incumbent
Description

Global consumer intelligence and retail measurement company providing shopper insights, market share analytics, and assortment optimization. Comparable to Sagarmatha's SagAnalyze modules (Shopper Behavior, Sales & Market Share) as a broader, incumbent analytics provider serving CPGs and retailers.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers12 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment3 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

AI capability6 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature8 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles7 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Sagarmatha

Retail Personalization Softwaresag121.com

Sagarmatha builds ML-powered personalization and analytics software exclusively for grocery, drugstore, and health & beauty retailers and their CPG suppliers in Europe and North America, embedding expert teams alongside its SaaS platform to deliver 1:1 personalized offers at scale.

What Sagarmatha does

Sagarmatha Ltd. is an Israel-based B2B SaaS company, founded in 1999 and operating with 51-100 employees, that builds ML-powered personalization and analytics software exclusively for grocery, drugstore, and health & beauty retailers and their CPG supplier partners. The company targets tier-one retailers across Europe and North America; its publicly named customers include Ahold Delhaize and its US banners (Stop & Shop, Giant, Food Lion, The Giant Company, Price Chopper), ADUSA, La Colonia, and CPG suppliers Coca-Cola, Kellogg's, Procter & Gamble, Colgate, and Kimberly-Clark. The "Sagarmatha Promise" — right customer, right offer, right time, right channel — is delivered through hyper-personalized offer scoring against every shopper at every touchpoint, with claimed outcomes of up to 17% sales lift, 6.0x retailer ROI, and 8.3x supplier ROI measured against control groups.

The platform consists of two integrated products. SagPersonalize is the core ML personalization engine, combining predictive analytics, automated machine learning with continuous model regeneration, a constraints engine, an optimization algorithm that balances retailer, supplier, and shopper goals, and an omni-channel API spanning email, app, web, direct mail, social media, in-store kiosk, and store printer. SagAnalyze is a complementary BI and analytics suite with four modules — Sales & Market Share, Shopper Behavior, Promotions, and Targeted Activity — built on millions of shopper transactions and including a proprietary Replenishment Gap Prediction capability at the SKU and household level. The Big Data platform reports 1.1TB/hr throughput and 42ms latency per batch of 4.2M records.

Sagarmatha combines SaaS subscriptions with embedded expert services, deploying its team directly inside client operations as a partnership differentiator against black-box or self-serve alternatives. Distribution is exclusively direct enterprise field sales, supported by an inside-sales motion for inbound "Book a Demo" leads and content marketing through a 24-case-study resource center; pricing is not publicly disclosed. Revenue mechanics span both retailers (subscription for personalization and analytics) and CPG suppliers (co-funded promotion optimization), making it a B2B2B model where retailer adoption pulls supplier monetization.

Sagarmatha firmographics

Firmographics
Name
Sagarmatha
Legal name
Sagarmatha Ltd.
Website
https://sag121.com
Company type
Private
Founded year
1999
Operating status
Operating
Headcount range
51–100 employees
Short description
Sagarmatha builds ML-powered personalization and analytics software exclusively for grocery, drugstore, and health & beauty retailers and their CPG suppliers in Europe and North America, embedding expert teams alongside its SaaS platform to deliver 1:1 personalized offers at scale.
Ownership category
akta.pro rank

Sagarmatha industry classification

Industry
Product category
Retail Personalization Software
NAICS
Custom Computer Programming Services (541511)
SIC
Services-Advertising (7310)
akta.pro primary industry
Pricing, Revenue Growth Management (RGM) & Promo Analytics Services (CRAOAOAE)
akta.pro secondary industries
Market, Shopper & Category Insights / Research Services (CRAOAOAI), Pricing, Revenue & Commercial Analytics (BPAHALAM)

Keywords

  • Retail personalization
  • Shopper analytics
  • Promotion optimization
  • Machine learning retail
  • CPG trade marketing

Where Sagarmatha is headquartered

Location

Headquarters

HQ city
Yakum
HQ country
Israel
HQ region
Middle East

Offices1 record

Markets served

Sagarmatha business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure

Revenue model

  1. SaaS ML Platform Subscription (SagPersonalize & SagAnalyze): Sagarmatha delivers its ML-powered personalization and analytics platforms as SaaS subscriptions to grocery, drugstore, and health & beauty retailers. The revenue model combines technology delivery with expert embedded services. Every program is tied to a control group to measure real outcomes, with proven results including up to 17% sales lift.
  2. Expert Services / Embedded Partnership: The company's team of experts embeds directly into the client's operations, providing hands-on execution alongside the SaaS technology. This partnership model, where 'the product is the machine learning, the difference is the people who deploy it alongside you,' suggests professional/managed services as a revenue component.

Go-to-market motion2 records

Distribution channels3 records

Marketing channels6 records

Sagarmatha product offering

Product offering

Core offering

Sagarmatha sells a SaaS machine-learning personalization and analytics platform that helps grocery, drugstore, and health & beauty retailers and their CPG suppliers turn shopper transaction, basket, and loyalty data into hyper-personalized 1:1 offers delivered across every retail touchpoint. The offering combines SagPersonalize, an ML-powered personalization engine with omni-channel delivery, and SagAnalyze, an analytics suite covering sales, shopper behavior, promotions, and targeted activity, supported by an embedded expert team.

Product overview

Sagarmatha is a platform-plus-modules architecture consisting of two integrated products: SagPersonalize (core ML-powered personalization engine) and SagAnalyze (advanced retail analytics add-on module). SagPersonalize serves as the primary engine, analyzing shopper data to deliver hyper-personalized offers at scale across touchpoints. SagAnalyze provides complementary analytics capabilities with four focused modules for sales tracking, shopper behavior analysis, promotions measurement, and targeted marketing. Together, they enable retailers to turn shopper data into sales, loyalty, and growth through ML-powered personalization and advanced analytics.

Differentiator

Problem solved

Functional benefit

Products and services

  • SagPersonalize

Quantifiable outcome

  • Up to 17% average sales lift (measured vs. control group)
  • +6 more outcomes

Companies that use Sagarmatha

Customer profile

Named customers12 records

Segments3 records

Ideal customer profiles2 records

Sagarmatha technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

AI capability6 records

Feature8 records

Sagarmatha partnerships and signals

Strategic signal

Partnerships

Six partnerships are on record, tiered core.

  • Ahold DelhaizecoreGTM or Marketing PartnerAhold Delhaize is a major international grocery retailer and Sagarmatha customer. The company's US banners (Stop & Shop, Giant, Food Lion) are listed as trusted customers and appear in customer logos. Ahold Delhaize has also been highlighted in company content for industry leadership during COVID-19. The relationship is a customer partnership where Sagarmatha provides personalization technology to Ahold Delhaize's US retail operations.
  • Coca-ColacoreGTM or Marketing PartnerCoca-Cola is listed as a leading CPG brand customer in Sagarmatha's customer logos. The company appears as a supplier partner that co-funds personalized promotional offers at Sagarmatha's retail customer locations.
  • Kellogg'scoreGTM or Marketing PartnerKellogg's is listed as a major CPG brand customer using Sagarmatha's personalization platform. Like other CPG partners, Kellogg's co-funds personalized offers at partner retailers to optimize trade spend and ROI.
  • Procter & GamblecoreGTM or Marketing PartnerProcter & Gamble is listed as a CPG brand customer using Sagarmatha's platform. P&G is one of the world's largest consumer products companies and uses Sagarmatha's solution to optimize promotional spending across grocery retail partners.
  • ColgatecoreGTM or Marketing PartnerColgate-Palmolive is listed as a customer CPG brand partner. The company uses Sagarmatha's ML-powered personalization to fund targeted offers at grocery retail partners.
  • Kimberly-ClarkcoreGTM or Marketing PartnerKimberly-Clark is listed as a customer CPG brand partner using Sagarmatha's personalization platform for targeted promotional offers at grocery retailers.

Scale indicators12 records

Recent moves6 records

Expansion highlights5 records

Sagarmatha competitors and assessment

Company assessment

Direct peers

  • dunnhumby: Data science and customer engagement company spun out of Tesco, focused on grocery and retail personalization. Directly comparable to Sagarmatha as a vertical-specialist ML personalization platform serving tier-one grocery retailers with shopper data-driven offers and loyalty optimization.
  • 84.51°: Kroger's data analytics subsidiary, providing personalized marketing, media, and insights for grocery retail. Directly comparable to Sagarmatha as a retailer-tied ML personalization engine focused on grocery shopper data, loyalty, and promotional offer optimization.
  • Catalina Marketing: Shopper intelligence and personalized digital media provider serving CPGs and retailers across grocery, drug, and convenience channels. Highly comparable to Sagarmatha given overlapping CPG/retailer customer base, ML-driven offer personalization, and shopper-level targeting capabilities.
  • Epsilon (Publicis): Marketing services and personalization platform within Publicis Groupe, with deep retail and CPG customer engagement capabilities. Comparable to Sagarmatha in delivering data-driven personalization and loyalty solutions to enterprise retail/CPG clients, though operating as part of a broader agency holding company.
  • Neptune Retail Solutions: Digital promotions, media, and shopper marketing company (formerly Quotient Technology) focused on CPG-funded offers at retail. Comparable to Sagarmatha given its positioning on digital couponing, retailer-funded media networks, and CPG trade promotion optimization.

Emerging players

  • LiveRamp: Data connectivity platform enabling brands and retailers to collaborate on first-party data activation. Comparable to Sagarmatha at the data infrastructure layer powering retail personalization, though LiveRamp focuses more broadly across industries and on identity resolution rather than vertical-specific ML offers.
  • Optimove: CRM and customer retention platform using ML for personalized multichannel marketing, with a meaningful retail vertical presence. Comparable to Sagarmatha in ML-driven personalization and customer journey optimization, though Optimove's roots are in gaming/gambling and it serves a broader vertical mix.

Broad incumbents

  • Salesforce Marketing Cloud: Broad enterprise marketing platform offering personalization, journey orchestration, and audience segmentation. Overlaps with Sagarmatha's personalization and omni-channel delivery capabilities but is a horizontal platform rather than a grocery/drugstore vertical specialist.
  • Adobe Experience Cloud: Suite of enterprise marketing, analytics, and personalization products including Adobe Real-Time CDP and Adobe Target. Overlaps with Sagarmatha's ML personalization and analytics offerings but competes from a horizontal, multi-industry position with much broader feature scope.
  • NielsenIQ: Global consumer intelligence and retail measurement company providing shopper insights, market share analytics, and assortment optimization. Comparable to Sagarmatha's SagAnalyze modules (Shopper Behavior, Sales & Market Share) as a broader, incumbent analytics provider serving CPGs and retailers.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

Sagarmatha social profiles

Digital presence

Sagarmatha financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Sagarmatha leadership team

Management profile

Number of profiles

Profiles7 records

Sagarmatha funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Sagarmatha M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Sagarmatha

What does Sagarmatha do?

Sagarmatha sells a SaaS machine-learning personalization and analytics platform that helps grocery, drugstore, and health & beauty retailers and their CPG suppliers turn shopper transaction, basket, and loyalty data into hyper-personalized 1:1 offers delivered across every retail touchpoint. The offering combines SagPersonalize, an ML-powered personalization engine with omni-channel delivery, and SagAnalyze, an analytics suite covering sales, shopper behavior, promotions, and targeted activity, supported by an embedded expert team.

Is Sagarmatha a public or private company?

Sagarmatha is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was Sagarmatha founded?

Sagarmatha was founded in 1999. It employs 51 to 100 people.

Where is Sagarmatha based?

Sagarmatha is headquartered in Yakum, Israel, in the Middle East region.

How does Sagarmatha make money?

Two revenue lines are on record. SaaS ML Platform Subscription (SagPersonalize & SagAnalyze) is the primary driver. The others are expert Services / Embedded Partnership.

Who are Sagarmatha's main competitors?

Direct peers on record are dunnhumby, 84.51°, Catalina Marketing, Epsilon (Publicis) and Neptune Retail Solutions. Emerging players are LiveRamp and Optimove. Broad incumbents are Salesforce Marketing Cloud, Adobe Experience Cloud and NielsenIQ.

Does Sagarmatha have an API?

Yes. Omni Channel API enables adding or removing retail touchpoints (direct mail, email, web, app, social media, in-store kiosk, store printer) transparently. Touchpoints are optimized at backend according to related characteristics and unique shopper behavior. The platform processes tens of millions of targeting recommendations within hours. Specific API type (REST/GraphQL), authentication method, rate limits, and public developer documentation are not specified in available sources.

What industry is Sagarmatha in?

Sagarmatha's product category is Retail Personalization Software. Its primary akta.pro industry code is CRAOAOAE, Pricing, Revenue Growth Management (RGM) & Promo Analytics Services, with a secondary code of CRAOAOAI, Market, Shopper & Category Insights / Research Services. Its NAICS code is 541511 and its SIC code is 7310.

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Live signals
PR NewswireLa Colonia Enhances Loyalty Program with Sagarmatha's Intelligent Personalization SolutionsSagarmatha, a machine learning-based personalization platform provider, announced a collaboration with La Colonia, Honduras' largest national grocery chain, to enhance its loyalty program with personalized offers and targeted coupon campaigns. The partnership also provides La Colonia's Consumer-Packaged Goods partners with access to Sagarmatha's BI and analytics platform for the first time, offering unprecedented transparency into shopper insights and campaign performance. Initial results from the collaboration show significantly higher engagement and sales lift among La Colonia's loyalty program members.PR NewswireLa Colonia Enhances Loyalty Program with Sagarmatha's Intelligent Personalization SolutionsSagarmatha announced a collaboration with La Colonia, Honduras' largest national grocery chain, to enhance its loyalty program using machine learning-based personalization and analytics solutions. Initial results from the partnership show significantly higher engagement and sales lift among La Colonia's loyalty program members, with the platform also offering Consumer-Packaged Goods partners unprecedented transparency into shopper insights and campaign performance data. The collaboration aims to support La Colonia's expansion plans in 2024 while strengthening its loyalty rewards program that currently tracks 90% of customer sales.PR NewswireSagarmatha Announces AI Retail Personalization Platform Expansion to Reduce Inflation Burden on ShoppersSagarmatha Ltd. announced an expansion of its AI retail personalization platform at the NRF (National Retail Federation) conference, introducing an anti-inflation package designed to help retailers' loyalty program members reduce basket costs during rising global inflation. The company, led by new CEO Gilad Simhony (former mySupermarket founder), developed software tools in collaboration with tier one retailers to embed personalized insights across every aspect of retail business operations. The platform has reportedly impacted over 1 billion personally enhanced transactions and claims proven sales uplift of up to 17% for tier one US-based brands.PR NewswireSagarmatha Adds Daniella Sanchez and Shawn Williamson to its North American TeamSagarmatha, a personalized marketing company, announced the hiring of Daniella Sanchez and Shawn Williamson to expand its North American direct customer success team, with Sanchez assigned to support Food Lion and Williamson to work with Shoppers Drug Mart. The company, headquartered in Cincinnati with R&D in Tel Aviv, stated the hires support its strategy to increase presence in U.S. and Canadian markets with its 1:1 personalization marketing platform that tracks individual shopper behavior and delivers targeted messages through preferred channels. Daniella Sanchez previously served as shopper marketing manager for Family Dollar Stores/Dollar Tree and won an Effie Award, while Shawn Williamson worked as a consultant with top-tier firms including Sears Canada, Home Depot Canada, and Walmart.