IkhayaZonke IzigabaIsofthiwe Yokuhlaziya Okubikezelayo

Isofthiwe Yokuhlaziya Okubikezelayo

I-SaaS Browser ilandelela izinkampani zesofthiwe ze-2,258 Isofthiwe Yokuhlaziya Okubikezelayo, kanti i-202 ingeziwe ezinsukwini ezingu-30 ezedlule. Amazwe aphezulu e-Isofthiwe Yokuhlaziya Okubikezelayo SaaS afaka phakathi i-United States (426), United Kingdom (72), India (66).

Amaphuzu Edatha Abalulekile e-Isofthiwe Yokuhlaziya Okubikezelayo

2,258
Isofthiwe Ephelele1
202
Okusha (Izinsuku ezingu-30 ezedlule)2
67
Izinhlelo Zokuxhumana3
7
Iminyaka Emaphakathi (Iminyaka)4
+1,367
Okusha (Izinsuku ezingu-365 ezedlule)5
651
I-Churned (Unyaka Odlule)6
32.3%
Izinga Lonyaka Lokukhushulwa7
27.7%
Isivivinyo Samahhala8

Ukusatshalaliswa Kosayizi Wenkampani9

7
Ibhizinisi (1,000+)
1.1% kwesamba
27
Okukhulu (201-1,000)
4.4% kwesamba
79
Usayizi Ophakathi (51-200)
12.9% kwesamba
500
Okuncane (2-50)
81.6% kwesamba

Izinkampani Ezise-Isofthiwe Yokuhlaziya Okubikezelayo Ezisungulwe Kakhulu

Inkampani Abasebenzi Izinga Lesizinda Yasungulwa Kungeziwe
Anthropic 200 2007 2025-02-26
Dotmatics 1,000 2025-02-04
GigaOm 200 2006 2025-02-28
Informa 500 2011 2025-06-05
Overlyzer 2026-01-24
Agentic RAG 5,000 2025-02-07
Alteryx 5,000 2025-02-08
Data Axle 5,000 1972 2025-02-10
Dataintelo 1,000 2015 2025-05-29
First Insight 200 2007 2025-02-04

Amazwe ayi-10 aphezulu e-Isofthiwe Yokuhlaziya Okubikezelayo SaaS

Amazwe alandelayo amelela lapho izinkampani eziningi ze-Isofthiwe Yokuhlaziya Okubikezelayo SaaS zinezinhloko zazo, ngokusekelwe kudatha yethu yemikhiqizo yesofthiwe ye-2,258.

Izwe Bala % wesamba
United States 426 18.9%
United Kingdom 72 3.2%
India 66 2.9%
Germany 35 1.6%
Canada 28 1.2%
Australia 21 0.9%
France 18 0.8%
Israel 16 0.7%
Singapore 14 0.6%
Netherlands 13 0.6%

I-SEO kanye ne-Domain Authority ye-Isofthiwe Yokuhlaziya Okubikezelayo

Isilinganiso Sezinga Lesizinda10
13
uma kuqhathaniswa nesilinganiso esiphelele se-14

Idatha yamanani e-Isofthiwe Yokuhlaziya Okubikezelayo

Intengo Ephakathi Yokuqala (i-USD)12
$29/ngenyanga
Intengo Ephakeme Emaphakathi (i-USD)13
$100/ngenyanga

Ukugcwala Kwemakethe kwe-Isofthiwe Yokuhlaziya Okubikezelayo

Leli phuzu libalwa kusukela ekuhlanganisweni kwemikhiqizo iyonke, igunya lesizinda, izizinda ezibhekisela kuzo, ubudala benkampani, ukukhula kwethrafikhi, amanani, kanye nokuba khona kwebhizinisi.

Isikolo Sokugcwalisa14
55 / 100 (Okuphakathi nendawo)

Izinhlelo Zokubambisana ku-Isofthiwe Yokuhlaziya Okubikezelayo

67 Isofthiwe Yokuhlaziya Okubikezelayo Izinkampani ze-SaaS zinikeza izinhlelo ezihambisanayo (3.0% yenani eliphelele).

Ikhomishini Ejwayelekile15
28%
Ukusatshalaliswa Kohlobo Lwekhomishini
Isikhathi esisodwa 9
Okuphindaphindayo 18

Okusanda Kwengezwa i-Isofthiwe Yokuhlaziya Okubikezelayo SaaS

Prudent Warrantery Kungezwe i-2026-09-19
GradientSlop Kungezwe i-2026-09-19
Clear Tallidorance Kungezwe i-2026-09-19
Veloce Kungezwe i-2026-09-19
Volume-Trader Kungezwe i-2026-09-19
Ai Nobiloption Kungezwe i-2026-09-19
Fairmont Valtex Kungezwe i-2026-09-19
VICKTAAR Kungezwe i-2026-09-19
snapflowwatix Kungezwe i-2026-09-19
Poland Capital Kungezwe i-2026-09-19

Isilinganiso Seminyaka Yezinkampani ze-SaaS ze-Isofthiwe Yokuhlaziya Okubikezelayo

Inkampani ejwayelekile ye-Isofthiwe Yokuhlaziya Okubikezelayo SaaS yasungulwa eminyakeni engu-7.0 eyedlule (isilinganiso sonyaka wokusungulwa: 2019).

Ukuhlukaniswa kwe-B2B / B2C kwe-Isofthiwe Yokuhlaziya Okubikezelayo16

545
Kokubili i-B2B ne-B2C
24.3%
1,627
Ibhizinisi (B2B)
72.5%
72
Umthengi (B2C)
3.2%

Kususelwa ezinkampanini ze-2,244 ezinedatha yohlobo lwabathengi (99.4% yenani eliphelele).

Ithrendi Yokutholwa Kwe-SaaS ye-Isofthiwe Yokuhlaziya Okubikezelayo

Inani lokusakazwa lwe-SaaS lenyanga zonke ye-Isofthiwe Yokuhlaziya Okubikezelayo uma kuqhathaniswa nengxenye yayo ye-SaaS yonke etholakele. Iphesenti elikhulayo likhombisa ukuthi lesi sigaba sikhula ngokushesha kunemakethe jikelele.

Thola i-Isofthiwe Yokuhlaziya Okubikezelayo SaaS

Hlunga:
Bonisa Izihlungi
1 isihlungi sisetshenzisiwe · Sula konke · Londoloza
Isigaba: Isofthiwe Yokuhlaziya Okubikezelayo
Manage Stock Levels Logo

Manage Stock Levels

Umnikazi uqinisekise imininingwane yephrofayela yakhe eboniswe kuleli khasi.
This website offers a smart and easy way to manage inventory, helping businesses avoid stock-outs and overstocking. Users can predict stock needs, analyze sales data, and make informed purchasing decisions with a simple and intuitive app.
Intengo: Kusuka ku-€100/ngenyanga
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
Inventory & Warehouse Management
Isigaba salolu hlu.
Demand Forecasting & Planning Software
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
Nviya Prime Logo

Nviya Prime

Umnikazi uqinisekise imininingwane yephrofayela yakhe eboniswe kuleli khasi.
This platform utilizes advanced predictive analytics and artificial intelligence to forecast upcoming economic, geopolitical, regulatory, and market events that could influence client decision-making and business outcomes. Key features include autonomous event detection, personalized client research, and real-time market horizon scanning, designed to enhance sales opportunities, deepen client relationships, and increase revenue for financial professionals. It addresses challenges faced by banking and financial sales teams by providing timely, data-driven insights to optimize engagement strategies and improve success rates in a competitive financial landscape targeted at corporate bankers, financial advisors, and sales professionals.
Predictive Analytics Software
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
Basmu Logo

Basmu

Isivivinyo Samahhala
Umnikazi uqinisekise imininingwane yephrofayela yakhe eboniswe kuleli khasi.
A cognitive augmented discovery system designed for financial crime investigation employs advanced artificial intelligence to analyze complex case data, uncover hidden networks, and generate detailed hypotheses with evidence chains, thereby enhancing investigative efficiency and accuracy. Its key features include perceptual scene construction, expert-level memory recall, reasoning through narrative intelligence, structured critique, and continual self-learning, addressing challenges such as human cognitive limitations, false positives, missed connections, and lengthy manual reviews, making it ideal for forensic analysts, compliance officers, and investigators seeking to improve case coverage, reduce investigation time, and detect illicit activity more effectively.
Business Intelligence & Analytics
Isigaba salolu hlu.
API & Backend-as-a-Service Platforms
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
ForecastEdge Logo

ForecastEdge

Umnikazi uqinisekise imininingwane yephrofayela yakhe eboniswe kuleli khasi.
ForecastEdge is a demand prediction tool designed for small e-commerce retailers that integrates with platforms like Shopify and WooCommerce to accurately forecast future product sales, enabling informed inventory management. Its key features include connection to e-commerce stores for real-time data analysis, utilization of established statistical time-series modeling to account for seasonality and sales trends, and provision of confidence intervals to help retailers determine appropriate stock buffer levels, reducing the risks of overstocking or stockouts; it solves common problems such as excessive cash tied in unsold inventory, revenue loss from unmet high-demand periods, and uncertainty in reorder quantities, making it ideal for small online business owners seeking affordable, data-driven inventory optimization without requiring a dedicated data science team.
Intengo: $0-$149/mo
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
Demand Forecasting & Planning Software
Isigaba salolu hlu.
Sales Forecasting Software
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
DataAgent X Logo

DataAgent X

Isivivinyo Samahhala
Umnikazi uqinisekise imininingwane yephrofayela yakhe eboniswe kuleli khasi.
This advanced AI-powered platform transforms Shopify sales data into comprehensive business insights by analyzing order and customer information to forecast revenue, identify potential customer churn, and detect revenue leaks, enabling online store owners and e-commerce entrepreneurs to make data-driven decisions. It offers key features such as real-time revenue predictions with confidence intervals, automated at-risk customer detection with churn probability scores, VIP customer ranking based on loyalty and lifetime value, and detection of weaknesses in sales performance due to discount reliance or retention issues, all without requiring complex setup or integrations. Designed for e-commerce store operators, digital entrepreneurs, and retail business managers aiming to optimize revenue, reduce customer attrition, and enhance profitability, it provides actionable intelligence to grow their online sales and improve customer retention strategies.
Intengo: $29-$49/mo
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
Business Intelligence & Analytics
Isigaba salolu hlu.
Data Analysis & Visualization Software
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
Rasa Intelligence Logo

Rasa Intelligence

Umnikazi uqinisekise imininingwane yephrofayela yakhe eboniswe kuleli khasi.
Rasa IntelligenceView is a comprehensive cognitive analysis engine designed to process complex business data rapidly and accurately by running multiple diagnostic modules simultaneously, providing structured insights such as risk assessments, strategic positioning, operational performance, and decision recommendations. Its main features include advanced structural health audits, dependency risk mapping, growth readiness scoring, operational friction analysis, and prioritized action plans, all derived from a single data upload while ensuring complete privacy, thereby addressing challenges related to data-driven decision-making, risk mitigation, strategic clarity, and operational efficiency for business leaders and analysts seeking swift, informed insights.
Intengo: $189-$889/mo
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
Business Intelligence & Analytics
Isigaba salolu hlu.
AI-powered Diagnosis & Healthcare Analytics
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
DXLens Logo

DXLens

Umnikazi uqinisekise imininingwane yephrofayela yakhe eboniswe kuleli khasi.
This platform provides an integrated solution for radio enthusiasts, broadcasters, and researchers by consolidating shortwave schedules, reception guidance, band context, and compatible receiver controls into a comprehensive listening and analysis toolbox. Its main features include multi-source schedule integration, real-time alerts for broadcast windows, detailed broadcast and reception information, native waterfall display, and advanced search capabilities for stations, frequencies, and broadcast parameters, all designed to enhance the experience of focused shortwave listening. It addresses problems related to tracking diverse international broadcasts, managing multiple sources, and optimizing reception conditions, making it ideal for hobbyists, amateur radio operators, and professionals involved in global communication and broadcast monitoring.
Scientific Research & Experimentation Platforms
Isigaba salolu hlu.
Predictive Analytics Software
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
Stackbrains AI  Logo

Stackbrains AI

Umnikazi uqinisekise imininingwane yephrofayela yakhe eboniswe kuleli khasi.
This artificial intelligence-powered operational platform integrates sales, production, inventory management, procurement, and costs into a unified, real-time data ecosystem, facilitating improved decision-making, enhanced efficiency, and reduced manual workload for manufacturing small and medium-sized enterprises. Its core features include embedded AI agents that analyze operational data to identify risks and opportunities, workflow automation that streamlines approvals and routine tasks, lightweight mobile mini-apps delivering instant insights, natural language interaction via voice and plain language queries, and a scalable, modular architecture allowing customization and growth. Designed for manufacturing businesses, it addresses challenges such as data silos, manual processes, outdated legacy systems, and miscommunication, empowering managers and frontline teams with intelligent automation, collaborative dashboards, and rapid deployment to optimize processes and boost productivity.
Business Intelligence & Analytics
Isigaba salolu hlu.
Manufacturing Execution Systems (MES)
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
Metrikflow Logo

Metrikflow

Umnikazi uqinisekise imininingwane yephrofayela yakhe eboniswe kuleli khasi.
Metrikflow offers a powerful platform designed to simplify sustainability management for companies. With features like automated data collection and real-time analytics, it helps organizations meet ESG compliance and make informed decisions for a greener future.
Energy Management Software
Isigaba salolu hlu.
Supply Chain Management (SCM) Software
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
PredictStats Logo

PredictStats

Isivivinyo Samahhala
Umnikazi uqinisekise imininingwane yephrofayela yakhe eboniswe kuleli khasi.
This tool provides intelligent, data-driven insights and real-time analytics for sports betting enthusiasts, primarily focusing on football matches to identify high-probability betting opportunities. It features comprehensive analysis of match statistics such as goal forecasts, corner kicks, card patterns, and half-time/full-time predictions, utilizing advanced algorithms, live updates, and historical data to enhance decision-making, solve the problem of unreliable predictions, and increase betting accuracy for professional bettors, casual gamblers, sports analysts, and betting organizations.
Intengo: R79.99/mo
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
Predictive Analytics Software
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
* Ezinye noma zonke izingxenye zaleli khasi zingase zenziwe i-AI, ngakho-ke sicela uqinisekise noma yiluphi ulwazi olubalulekile ngokuzimela.

imibuzo ejwayelekile ukubuzwa

Zingaki izinkampani ze-Isofthiwe Yokuhlaziya Okubikezelayo SaaS ezikhona?

Isiphequluli se-SaaS silandelela imikhiqizo yesofthiwe ye-2,258 Isofthiwe Yokuhlaziya Okubikezelayo kusukela ku-September 2026. Izinkampani ezintsha ze-202 Isofthiwe Yokuhlaziya Okubikezelayo ze-SaaS zengezwe ezinsukwini ezingu-30 ezedlule.

Zingaki izinkampani ezintsha ze-Isofthiwe Yokuhlaziya Okubikezelayo SaaS ezingezwayo njalo ngenyanga?

Izinkampani ezintsha ze-202 Isofthiwe Yokuhlaziya Okubikezelayo SaaS zengezwe ku-SaaS Browser ezinsukwini ezingu-30 ezedlule. Ingqalasizinda yethu yokukhasa eyimfihlo iyaqhubeka nokuthola imikhiqizo emisha yesofthiwe.

Yiziphi izinkampani ze-Isofthiwe Yokuhlaziya Okubikezelayo SaaS ezisungulwe kakhulu?

Izinkampani ze-Isofthiwe Yokuhlaziya Okubikezelayo SaaS ezidumile kakhulu ngokwegunya lesizinda zifaka phakathi i-Anthropic, Dotmatics, GigaOm, Informa, Overlyzer. Lezi zinkampani zimele amaphuzu aphezulu kakhulu esizinda esigabeni se-Isofthiwe Yokuhlaziya Okubikezelayo.

Ungakanani usayizi wenkampani ojwayelekile we-Isofthiwe Yokuhlaziya Okubikezelayo SaaS?

Phakathi kwezinkampani ze-Isofthiwe Yokuhlaziya Okubikezelayo SaaS ezinemininingwane yabasebenzi, ukusatshalaliswa kosayizi yilokhu: - 7 (1.1%), - 27 (4.4%), - 79 (12.9%), - 500 (81.6%).

Liyini igunya elimaphakathi lesizinda sezinkampani ze-Isofthiwe Yokuhlaziya Okubikezelayo SaaS?

Izinga lesizinda elimaphakathi lezinkampani ze-Isofthiwe Yokuhlaziya Okubikezelayo SaaS lingu-13, uma kuqhathaniswa nephakathi le-SaaS lisonke elingu-14.

Yimaphi amazwe anezinkampani ze-SaaS ze-Isofthiwe Yokuhlaziya Okubikezelayo eziningi kakhulu?

Amazwe aphezulu e-Isofthiwe Yokuhlaziya Okubikezelayo SaaS yilawa: United States (426), United Kingdom (72), India (66), Germany (35), Canada (28). Lawa amelela amazinga amakhulu ezinkampani zesofthiwe ze-Isofthiwe Yokuhlaziya Okubikezelayo emhlabeni jikelele.

Yimaphi amaphesenti ezinkampani ze-Isofthiwe Yokuhlaziya Okubikezelayo ze-SaaS ezinikeza izinhlelo zokubambisana?

67 Isofthiwe Yokuhlaziya Okubikezelayo Izinkampani ze-SaaS zinikeza izinhlelo ezihambisanayo, ezimele i-3.0% yazo zonke izinhlelo ze-Isofthiwe Yokuhlaziya Okubikezelayo ezilandelwa yi-SaaS Browser. Izinga elimaphakathi lekhomishini lingu-28%.

Ingakanani iminyaka yobudala yezinkampani ze-Isofthiwe Yokuhlaziya Okubikezelayo SaaS?

Inkampani ejwayelekile ye-Isofthiwe Yokuhlaziya Okubikezelayo SaaS yasungulwa eminyakeni engu-7.0 eyedlule, kanti isilinganiso sonyaka wokusungulwa kwayo sasingu-2019.

Ingabe izinkampani ze-Isofthiwe Yokuhlaziya Okubikezelayo SaaS zisebenza kakhulu njenge-B2B noma i-B2C?

Ngokusekelwe kudatha etholakalayo, izinkampani ze-Isofthiwe Yokuhlaziya Okubikezelayo SaaS zihlukaniswa kanje: Kokubili i-B2B ne-B2C (24.3%), Ibhizinisi (B2B) (72.5%), Umthengi (B2C) (3.2%).

Yiziphi izinkampani ezintsha ze-Isofthiwe Yokuhlaziya Okubikezelayo SaaS?

Izinkampani ze-Isofthiwe Yokuhlaziya Okubikezelayo SaaS ezisanda kutholakala zifaka phakathi i-Prudent Warrantery, GradientSlop, Clear Tallidorance, Veloce, Volume-Trader. I-SaaS Browser ithola futhi ibhale imikhiqizo emisha yesofthiwe njalo isebenzisa ingqalasizinda yokukhasa eyimfihlo.

Mayelana nesiphequluli se-SaaS

I-SaaS Browser iyisizindalwazi se-SaaS esikhulu kunazo zonke nesisesikhathini kakhulu ku-inthanethi - ithuluzi lokuhlola nokucwaninga eliphelele lezinkampani ze-SaaS.

Sithola amathuluzi amasha ngemva kwamasonto okwethulwa, ngaphambi kokuba avele ku-Apollo, ZoomInfo, noma kwezinye izizindalwazi. Ipulatifomu yethu eyakhelwe ngenhloso ilandelela kuphela imikhiqizo yesofthiwe yangempela enedatha eqinisekisiwe, ngokungafani namathuluzi okuhlola ajwayelekile angcoliswe yizinhlangano, izinhlangano zokubonisana, kanye nohlu oluphelelwe yisikhathi.

Kusukela emabhizinisini e-Fortune 500 kuya ezinkampanini ezintsha eziqaliswe kuleli sonto - uma kuyi-SaaS, siyayilandela.

Indlela lezi zinombolo ezibalwa ngayo

  1. Isofthiwe Ephelele. Inani lezinkampani ze-SaaS ezishicilelwe njengamanje ezisohlwini lalokhu okukhethiwe. Izinkampani eziphasa ukuhlola kwethu kwekhwalithi okuzenzakalelayo kuphela ezibalwayo.
  2. Okusha (Izinsuku ezingu-30 ezedlule). Inani eliyiqiniso lezinkampani ze-SaaS ezisanda kushicilelwa kulokhu okukhethiwe ezinsukwini ezingu-30 ezedlule.
  3. Izinhlelo Zokuxhumana. Inani lezinkampani ze-SaaS ezisohlwini ezisebenzisa uhlelo lokuxhumana noma lokudlulisa oluqinisekisiwe.
  4. Iminyaka Emaphakathi (Iminyaka). Iminyaka ephakathi, ngeminyaka, yezinkampani kulokhu okukhethiwe, ngokusekelwe onyakeni wokusungulwa. Iphakathi liyinani eliphakathi, ngakho-ke uhhafu badala futhi uhhafu basebancane.
  5. Okusha (Izinsuku ezingu-365 ezedlule). Inani lezinkampani ze-SaaS ezishicilelwe kulokhu okukhethiwe ezinsukwini ezingu-365 ezedlule.
  6. I-Churned (Unyaka Odlule). Izinkampani ezishicilelwe phakathi nonyaka odlule ezingasekho ohlwini — zaya offline, zasuswa, noma zayeka ukudlula ekuhloleni kwethu kwekhwalithi.
  7. Izinga Lonyaka Lokukhushulwa. Izinga lokushona lonyaka — izinkampani ezishonile njengephesenti lazo zonke izinkampani ezishicilelwe onyakeni odlule (ezisesohlwini kanye nezishonile).
  8. Isivivinyo Samahhala. Iphesenti lezinkampani ezisohlwini kulokhu okukhethiwe ezinikeza ukulingwa kwamahhala.
  9. Ukusatshalaliswa Kosayizi Wenkampani. Ukusatshalaliswa kwezinkampani ngenani labasebenzi: oyedwa (1), encane (2–50), ephakathi (51–200), enkulu (201–1,000), ye-enthaphrayizi (1,000+). Amaphesenti angawezinkampani ezinedatha yabasebenzi.
  10. Isilinganiso Sezinga Lesizinda. Izinga lesizinda eliphakathi (0–100) kuzo zonke izinkampani ezisohlwini, isilinganiso sethu segunya lezixhumanisi esivela kugrafu yewebhu ye-Common Crawl. Eliphezulu liqine kakhulu. Liboniswa lingelinye nephakathi eliphelele kuzo zonke ze-SaaS ukuze kuqhathaniswe.
  11. Intengo Ephakathi Yokuqala (i-USD). Intengo yanyanga yokungena ephakathi (USD) kuzo zonke izinkampani kulokhu okukhethiwe ezinedatha yamanani.
  12. Intengo Ephakeme Emaphakathi (i-USD). Intengo yanyanga eliphakeme ephakathi (USD) kuzo zonke izinkampani kulokhu okukhethiwe ezinedatha yamanani.
  13. Isikolo Sokugcwalisa. Isikolo sokugcwala kwemakethe esingu-0–100 esihlanganisa imikhiqizo ephelele, igunya lesizinda, izizinda ezibhekisela, iminyaka yenkampani, ukukhula kwethrafikhi, amanani, kanye nokuba khona kwe-enthaphrayizi. Eliphezulu lisho ukuncintisana okukhulu.
  14. Ikhomishini Ejwayelekile. Izinga lekhomishini lokuxhumana eliphakathi elinikezwa izinkampani kulokhu okukhethiwe ezisebenzisa uhlelo lokuxhumana.
  15. Ukuhlukaniswa kwe-B2B / B2C. Ukuhlukaniswa kwezinkampani ngokwemakethe okuqondiwe — ibhizinisi (B2B), umthengi (B2C), noma kokubili — phakathi kwalezo ezinedatha yohlobo lomthengi.