Israeli startup Bigger Picture offers cinemas a cloud-based SaaS platform that combines AI and big-data analysis to build digital customer profiles, enable touchless journeys from parking to concessions, and generate AI-driven scheduling recommendations. Amit Bohensky, founder and chairman, told The Jerusalem Post: "The new generations are looking for places to socialize. After the pandemic, and with the rise of on-demand services, young people lost the main reasons to leave the house." A barcode or app identifies patrons; AI then cross-analyzes client and show data across venues to optimize ticket sell-through. Bohensky described the scheduling model: "With our AI model, we get reasoning over scheduling decisions and a real-time learning curve on mistakes." The platform is cloud-native, requires no on-premise server installation, and bundles IT support. For practitioners, the case illustrates first-party data capture, demand forecasting, and personalization applied to physical entertainment venues competing with on-demand streaming.
What Bigger Picture does
Israeli startup Bigger Picture, founded in 2019 and based in Herzliya, offers cinemas a cloud-native SaaS platform covering ticketing, concession management, marketing, and operations. The platform identifies patrons via barcode or app, builds digital customer profiles, and enables touchless venue experiences. Amit Bohensky, founder and chairman, told The Jerusalem Post: "The new generations are looking for places to socialize. After the pandemic, and with the rise of on-demand services, young people lost the main reasons to leave the house. So now they are searching for activities that allow them to meet other people, not just to do something, but to have an actual connection."
AI scheduling -- the core differentiator
The platform's most prominent AI feature is cross-venue scheduling optimization. Bohensky told The Jerusalem Post: "Sometimes we don't understand why the model decides that a movie needs to be in a specific slot. And having a human do the tracing calculations to maximize scheduling efficiency is not worth it. With our AI model, we get reasoning over scheduling decisions and a real-time learning curve on mistakes." He identified this as the company's strongest selling point: "The chance to analyze everything and make decisions using an AI model is something that I've only seen in our products."
Customer data and personalization
Bohensky cited cinemas' lack of digital-profile infrastructure as the core market gap: "They lack the technology to create digital profiles of their clients and offer them the services based on previous purchases, giving these venues the possibility of even larger margins." The platform's BI engine converts customer transaction and attendance telemetry into targeted offers for concessions, premium experiences, and ancillary services.
Platform architecture
Per the company's own documentation, the platform is cloud-native (no on-premise hardware required), includes AI-driven fraud detection scanning user behaviors for anomalies, and bundles IT support covering app development, terminal debugging, and software issues. Bohensky described the integration rationale: "We unite all of our clients' IT needs into one place, making a seamless experience for movie goers, and we also create many more touch points for the clients, which in place lets us have better tracking of their needs."
Editorial context
The Jerusalem Post article is a founder-profile feature. No independently verified adoption figures, customer case studies, or technical benchmarks appear in the source. Platform capabilities and performance claims derive from Bohensky's own statements and company documentation. For practitioners, this illustrates applying first-party identity tokens, transaction telemetry, demand-forecasting, and scheduling optimization to physical entertainment venues -- a vertical where data infrastructure typically lags digital counterparts.
Scoring Rationale #
A founder-profile feature on an Israeli startup applying AI scheduling and customer-data profiling to cinema venues, relevant to practitioners working on demand forecasting and physical-venue personalization. Single primary source with no independently verified adoption metrics, customer case studies, or technical benchmarks; vendor claims only. Score reflects niche practitioner relevance and an interesting scheduling-AI angle, tempered by the promotional nature of the reporting.
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